Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0
Abstract
:1. Introduction
2. Applications of IoT Devices
2.1. Healthcare Applications
2.2. Agriculture Applications
2.3. Smart Home Applications
2.4. Smart Cities
2.5. Industry 4.0
3. Challenges and Active Research Topics
3.1. Security of IoT Devices
3.2. Authentication and Password Security
3.3. Interoperability Challenges
3.4. Cloud Computing Research
3.5. Potential Future Directions and Developments
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
IoT | Internet of Things |
IoMT | Internet of Medical Things |
DDOS | distributed denial of service |
RFID | radio frequency identification |
STS | smart traffic systems |
PKG | private key generator |
IETF | Internet Engineering Task Force |
References
- Saleem, S.I.; Zeebaree, S.; Zeebaree, D.Q.; Abdulazeez, A.M. Building smart cities applications based on IoT technologies: A review. Technol. Rep. Kansai Univ. 2020, 62, 1083–1092. [Google Scholar]
- Said, O.; Masud, M. Towards internet of things: Survey and future vision. Int. J. Comput. Netw. 2013, 5, 1–17. [Google Scholar]
- Paul, C.; Ganesh, A.; Sunitha, C. An overview of IoT based smart homes. In Proceedings of the 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 19–20 January 2018; pp. 43–46. [Google Scholar]
- Tan, L.; Wang, N. Future Internet: The Internet of Things. In Proceedings of the 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, Chengdu, China, 20–22 August 2010; pp. V5-376–V5-380. [Google Scholar]
- Suresh, P.; Daniel, J.V.; Parthasarathy, V.; Aswathy, R.H. A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment. In Proceedings of the 2014 International Conference on Science Engineering and Management Research (ICSEMR), Chennai, India, 27–29 November 2014; pp. 1–8. [Google Scholar]
- Al-Khafajiy, M.; Webster, L.; Baker, T.; Waraich, A. Towards fog driven IoT healthcare: Challenges and framework of fog computing in healthcare. In Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, Amman, Jordan, 26–27 June 2018; pp. 1–7. [Google Scholar]
- Alaa, M.; Zaidan, A.A.; Zaidan, B.B.; Talal, M.; Kiah, M.L.M. A review of smart home applications based on Internet of Things. J. Netw. Comput. Appl. 2017, 97, 48–65. [Google Scholar] [CrossRef]
- Sharma, S.; Kaushik, B. A survey on Internet of vehicles: Applications, security issues and solutions. Veh. Commun. 2019, 20, 100182. [Google Scholar]
- Silva, C.; Silva, F.; Sarubbi, J.; Oliveira, T.; Meira, W.; Nogueira, J. Designing mobile content delivery networks for the Internet of vehicles. Veh. Commun. 2017, 8, 45–55. [Google Scholar] [CrossRef]
- Lei, T.; Wang, S.; Li, J.; Yang, F. A cooperative route choice approach via virtual vehicle in iov. Veh. Commun. 2017, 9, 281–282. [Google Scholar] [CrossRef]
- Bajaj, R.; Rao, M.; Agrawal, H. Internet of things (IoT) in the smart automotive sector: A review. IOSR J. Comput. Eng. 2018, 9, 36–44. [Google Scholar]
- Ganesh, E.N. Implementation of IoT architecture for SMART HOME using GSM technology. Int. J. Comput. Tech. 2017, 4, 42–48. [Google Scholar]
- Shafique, K.; Khawaja, B.A.; Sabir, F.; Qazi, S.; Mustaqim, M. Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. IEEE Access 2020, 8, 23022–23040. [Google Scholar] [CrossRef]
- Ahmadi, H.; Arji, G.; Shahmoradi, L.; Safdari, R.; Nilashi, M.; Alizadeh, M. The application of internet of things in healthcare: A systematic literature review and classification. Univers. Access Inf. Soc. 2019, 18, 837–869. [Google Scholar] [CrossRef]
- Ahad, A.; Tahir, M.; Yau, K.A. 5g-based smart healthcare network: Architecture, taxonomy, challenges and future research directions. IEEE Access 2019, 7, 100747–100762. [Google Scholar] [CrossRef]
- Ramachandran, A.; Pahwa, P.K.R.A. Machine learning-based techniques for fall detection in geriatric healthcare systems. In Proceedings of the 2018 9th International Conference on Information Technology in Medicine and Education (ITME), Hangzhou, China, 19–21 October 2018; pp. 232–237. [Google Scholar]
- Shaikh, Y.; Parvati, V.K.; Biradar, S.R. Survey of smart healthcare systems using internet of things (IoT): (invited paper). In Proceedings of the 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India, 15–17 February 2018; pp. 508–513. [Google Scholar]
- Rajini, N.H. A comprehensive survey on internet of things based healthcare services and its applications. In Proceedings of the 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 27–29 March 2019; pp. 483–488. [Google Scholar]
- Song, X.; Chin, K.-W. Maximizing Packets Collection in Wireless Powered IoT Networks with Charge-or-Data Time Slots. IEEE Trans. Cogn. Commun. Netw. 2023, 9, 1067–1079. [Google Scholar] [CrossRef]
- Liu, X.; Xu, B.; Wang, X.; Zheng, K.; Chi, K.; Tian, X. Impacts of Sensing Energy and Data Availability on Throughput of Energy Harvesting Cognitive Radio Networks. IEEE Trans. Veh. Technol. 2023, 72, 747–759. [Google Scholar] [CrossRef]
- Vishwakarma, S.K.; Upadhyaya, P.; Kumari, B.; Mishra, A.K. Smart Energy Efficient Home Automation System Using IoT. In Proceedings of the 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, 18–19 April 2019; pp. 1–4. [Google Scholar]
- Tan, J.; Sha, X.; Lu, T.; Dai, B. A Short Survey on Future Research of AI and IoT Technologies. In Proceedings of the 2022 International Wireless Communications and Mobile Computing (IWCMC), Dubrovnik, Croatia, 30 May–3 June 2022; pp. 190–195. [Google Scholar]
- Ragothaman, K.; Wang, Y.; Rimal, B.; Lawrence, M. Access Control for IoT: A Survey of Existing Research, Dynamic Policies, and Future Directions. Sensors 2023, 23, 1805. [Google Scholar] [CrossRef] [PubMed]
- Chataut, R.; Akl, R. Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction. Sensors 2020, 20, 2753. [Google Scholar] [CrossRef]
- Affia, A.-A.O.; Finch, H.; Jung, W.; Samori, I.A.; Potter, L.; Palmer, X.-L. IoT Health Devices: Exploring Security Risks in the Connected Landscape. IoT 2023, 4, 150–182. [Google Scholar] [CrossRef]
- Tang, S. Performance Modeling and Optimization for a Fog-Based IoT Platform. IoT 2023, 4, 183–201. [Google Scholar] [CrossRef]
- Nayernia, H.; Papagiannidis, H.B.S. A systematic review of the implementation of industry 4.0 from the organisational perspective. Int. J. Prod. Res. 2022, 60, 4365–4396. [Google Scholar] [CrossRef]
- Chu, M.; Liu, A.; Chen, J.; Lau, V.K.N.; Cui, S. A Stochastic Geometry Analysis for Energy-Harvesting-Based Device-to-Device Communication. IEEE Internet Things J. 2022, 9, 1591–1607. [Google Scholar] [CrossRef]
- Almasoud, A.M.; Alsharoa, A.; Qiao, D.; Kamal, A.E. An Energy-Efficient Internet of Things Relaying System for Delay-Constrained Applications. IEEE Access 2022, 10, 82259–82271. [Google Scholar] [CrossRef]
- Fernandes, V.; Cravo, N.; Monteiro, H.L.M.; Jayakody, D.N.K.; Poor, H.V.; Ribeiro, M.V. Energy Harvesting in the UNB-PLC Spectrum: Hidden Opportunities for IoT Devices. IEEE Internet Things J. 2023, 10, 1236–1247. [Google Scholar] [CrossRef]
- Zheng, K.; Jia, X.; Chi, K.; Liu, X. DDPG-Based Joint Time and Energy Management in Ambient Backscatter-Assisted Hybrid Underlay CRNs. IEEE Trans. Commun. 2023, 71, 441–456. [Google Scholar] [CrossRef]
- Wang, X.; Zhang, Y.; Shen, R.; Xu, Y.; Zheng, F.-C. DRL-Based Energy-Efficient Resource Allocation Frameworks for Uplink NOMA Systems. IEEE Internet Things J. 2020, 7, 7279–7294. [Google Scholar] [CrossRef]
- Nguyen, N.-T.; Nguyen, D.N.; Hoang, D.T.; Van Huynh, N.; Dutkiewicz, E.; Nguyen, N.-H.; Nguyen, Q.-T. Time Scheduling and Energy Trading for Heterogeneous Wireless-Powered and Backscattering-Based IoT Networks. IEEE Trans. Wirel. Commun. 2021, 20, 6835–6851. [Google Scholar] [CrossRef]
- Nguyen, N.-T.; Nguyen, D.N.; Hoang, D.T.; Van Huynh, N.; Nguyen, H.-N.; Nguyen, Q.T.; Dutkiewicz, E. Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks. In Proceedings of the GLOBECOM 2020—2020 IEEE Global Communications Conference, Taipei, Taiwan, 7–11 December 2020; pp. 1–6. [Google Scholar]
- Guo, W.; Jing, L. Towards Low-Cost Passive Motion Tracking with One Pair of Commodity Wi-Fi Devices. IEEE J. Indoor Seamless Position Navig. 2023, 1, 39–52. [Google Scholar] [CrossRef]
- Zhang, S.; Liu, A.; Han, C.; Liang, X.; Xu, X.; Wang, G. Multi-agent Reinforcement Learning-Based Orbital Edge Offloading in SAGIN Supporting Internet of Remote Things. IEEE Internet Things J. 2023. [Google Scholar] [CrossRef]
- Shi, W.; Cao, J.; Zhang, Q.; Li, Y.; Xu, L. Edge Computing: Vision and Challenges. IEEE Internet Things J. 2016, 3, 637–646. [Google Scholar] [CrossRef]
- McEnroe, P.; Wang, S.; Liyanage, M. A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges. IEEE Internet Things J. 2022, 9, 15435–15459. [Google Scholar] [CrossRef]
- Liu, J.; Fan, Y.; Sun, R.; Liu, L.; Wu, C.; Mumtaz, S. Blockchain-Aided Privacy-Preserving Medical Data Sharing Scheme for E-Healthcare System. IEEE Internet Things J. 2023. [Google Scholar] [CrossRef]
- Kok, İ.; Okay, F.Y.; Muyanlı, O.; Ozdemir, S. Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey. IEEE Internet Things J. 2023, 10, 14764–14779. [Google Scholar] [CrossRef]
- Rice, M.; Kirkwood, R.; Landon, L.; Walker, P.; Harrison, W. On Polarization Diversity in 5G and Beyond Internet-of-Things Networks. In Proceedings of the 2023 Intermountain Engineering, Technology and Computing (IETC), Provo, UT, USA, 12–13 May 2023; pp. 126–131. [Google Scholar]
- Chen, S.; Xu, H.; Liu, D.; Hu, B.; Wang, H. A Vision of IoT: Applications, Challenges, and Opportunities with China Perspective. IEEE Internet Things J. 2014, 1, 349–359. [Google Scholar] [CrossRef]
- Yaklaf, S.K.A.; Elmezughi, A.S.; Naas, S.M.H.; Ekreem, N.B. Privacy, Security, Trust and Applications in Internet of Things. In Proceedings of the 2023 IEEE International Conference on Advanced Systems and Emergent Technologies (ICASET), Hammamet, Tunisia, 29 April–1 May 2023; pp. 1–6. [Google Scholar]
- HChi, R.; Radwan, A. Quality of Things’ Experience for 6G Artificial Intelligent Internet of Things with IEEE P2668. IEEE Commun. Mag. 2023, 61, 58–64. [Google Scholar]
- Jung, S.; Jeong, S.; Kang, J.; Kang, J. Marine IoT Systems with Space-Air-Sea Integrated Networks: Hybrid LEO and UAV Edge Computing. IEEE Internet Things J. 2023. [Google Scholar] [CrossRef]
- Qiu, S.; Wei, Z.; Huang, Y.; Abbaszadeh, M.; Charmet, J.; Li, B.; Guo, W. Review of Physical Layer Security in Molecular Internet of Nano-Things. IEEE Trans. Nanobioscience, 2023; Online ahead of print. [Google Scholar] [CrossRef]
- Yin, Y.; Di, Q.; Wan, J.; Liang, T. Time-Aware Smart City Services based on QoS Prediction: A Contrastive Learning Approach. IEEE Internet Things J. 2023. [Google Scholar] [CrossRef]
- Ashraf, Q.M.; Tahir, M.; Habaebi, M.H.; Isoaho, J. Toward Autonomic Internet of Things: Recent Advances, Evaluation Criteria, and Future Research Directions. IEEE Internet Things J. 2023, 10, 14725–14748. [Google Scholar] [CrossRef]
- Li, X.; Hu, X.; Jiang, T. Dual Reinforcement Learning based Attack Path Prediction for 5G Industrial Cyber-Physical Systems. IEEE Internet Things J. 2023. [Google Scholar] [CrossRef]
- Andhare, M.S.; Kumbhar, V.S.; Tekade, A.A. Detecting Cybersecurity Attacks in Industrial Internet of Things: A Systematic Literature Review. In Proceedings of the 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), Navi Mumbai, India, 20–21 January 2023; pp. 1–7. [Google Scholar]
- Goyal, H.R.; Sharma, S. Flood Management System Using Cloud Computing and Internet-of-Things. In Proceedings of the 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), Navi Mumbai, India, 20–21 January 2023; pp. 1–6. [Google Scholar]
- Ali, T.; Irfan, M.; Alwadie, A.S.; Glowacz, A. IoT-based smart waste bin monitoring and municipal solid waste management system for smart cities. Arab. J. Sci. Eng. 2020, 45, 10185–10198. [Google Scholar] [CrossRef]
- Ali, W.; Dustgeer, G.; Awais, M.; Shah, M.A. IoT based smart home: Security challenges, security requirements, and solutions. In Proceedings of the 2017 23rd International Conference on Automation and Computing (ICAC), Huddersfield, UK, 7–8 September 2017; pp. 1–6. [Google Scholar]
- Alotaibi, M. Improved Blowfish Algorithm-Based Secure Routing Technique in IoT-Based WSN. IEEE Access 2021, 9, 159187–159197. [Google Scholar] [CrossRef]
- Arif, S.; Khan, M.A.; Rehman, S.U.; Kabir, M.A.; Imran, M. Investigating smart home security: Is blockchain the answer? IEEE Access 2020, 8, 117802–117816. [Google Scholar] [CrossRef]
- Atwady, Y.; Hammoudeh, M. A survey on authentication techniques for the internet of things. In Proceedings of the International Conference on Future Networks and Distributed Systems, Cambridge, UK, 19–20 July 2017. [Google Scholar]
- Morgan, J.; Lu, M. What Is Internet of Things? IoT For All. Available online: https://www.iotforall.com/what-is-internet-of-things (accessed on 1 July 2023).
- Din, U.D.; Bano, A.; Awan, K.A.; Almogren, A.; Altameem, A.; Guizani, M. LightTrust: Lightweight trust management for edge devices in industrial Internet of Things. IEEE Internet Things J. 2023, 10, 2776–2783. [Google Scholar] [CrossRef]
- Rui, L.; Yang, S.; Gao, Z.; Li, W.; Qiu, X.; Meng, L. Smart network maintenance in edge cloud computing environment: An allocation mechanism based on comprehensive reputation and regional prediction model. J. Netw. Comput. Appl. 2022, 198, 103298. [Google Scholar] [CrossRef]
- Kumar, V.; Mahmoud, M.S.; Alkhayyat, A.; Srinivas, J.; Kumari, M.A.A. RAPCHI: Robust authentication protocol for IoMT-based cloud-healthcar infrastructure. J. Supercomput. 2022, 78, 6167–16196. [Google Scholar] [CrossRef]
- Van Geest, M.; Tekinerdogan, B.; Catal, C. Smart Warehouses: Rationale, Challenges and Solution Directions. Appl. Sci. 2022, 12, 219. [Google Scholar] [CrossRef]
- Guan, Z.; Wang, Y.; He, M. Deep Reinforcement Learning-Based Spectrum Allocation Algorithm in Internet of Vehicles Discriminating Services. Appl. Sci. 2022, 12, 1764. [Google Scholar] [CrossRef]
- Singh, P.; Kaur, A.; Batth, R.S.; Aujla, G.S.; Masud, M. Service Versus Protection: A Bayesian learning approach for trust provisioning in edge of things environment. IEEE Internet Things J. 2022, 9, 22061–22070. [Google Scholar] [CrossRef]
- Dinesh, G.; Pawar, Y.S.; Dinshi, P.; S, S.; Husain, S.S.; Reddy, C.V.K. Machine Learning based Secure Data Transmission and Improvement in MANET through Internet of Things (IoT). In Proceedings of the 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 5–7 January 2023; pp. 1006–1012. [Google Scholar]
- Wu, Y.-J.; Brito, R.; Choi, W.-H.; Lam, C.-S.; Wong, M.-C.; Sin, S.-W.; Martins, R.P. IoT Cloud-Edge Reconfigurable Mixed-Signal Smart Meter Platform for Arc Fault Detection. IEEE Internet Things J. 2023, 10, 1682–1695. [Google Scholar] [CrossRef]
- Islam, M.M.; Nooruddin, S.; Karray, F.; Muhammad, G. Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain. IEEE Internet Things J. 2023, 10, 3611–3641. [Google Scholar] [CrossRef]
- Nataraj, P.K.B.; Duraisamy, P. An Investigation on Attacks in Application Layer Protocols and Ransomeware Threats in Internet of Things. In Proceedings of the 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 17–18 March 2023; pp. 668–672. [Google Scholar]
- Joel, M.R.; Manikandan, G.; Bhuvaneswari, G. An Analysis of Security Challenges in Internet of Things (IoT) based Smart Homes. In Proceedings of the 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2–4 March 2023; pp. 490–497. [Google Scholar]
- Celik, A.; Romdhane, I.; Kaddoum, G.; Eltawil, A.M. A Top-Down Survey on Optical Wireless Communications for the Internet of Things. IEEE Commun. Surv. Tutorials 2023, 25, 1–45. [Google Scholar] [CrossRef]
- Ullah, R.; Asghar, I.; Griffiths, M.G.; Stacey, C.; Stiles, W.; Whitelaw, C. Internet of Things based Sensor System for Vertical Farming and Controlled Environment Agriculture. In Proceedings of the 2023 6th Conference on Cloud and Internet of Things (CIoT), Lisbon, Portugal, 20–22 March 2023; pp. 136–140. [Google Scholar]
- Chataut, R.; Akl, R.; Dey, U.K.; Robaei, M. SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks. Electronics 2021, 10, 578. [Google Scholar] [CrossRef]
- Soni, T.; Gupta, D.; Uppal, M. Bibliometric Analysis on Security of Different Layers in Internet of Things (IoT) Environment. In Proceedings of the 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 1–3 March 2023; pp. 1–6. [Google Scholar]
- Karpagam, M. Smart Energy Meter and Monitoring System using Internet of Things (IoT). In Proceedings of the 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 5–7 January 2023; pp. 75–80. [Google Scholar]
- Chen, W.E.; Wang, Y.H.; Huang, P.C.; Huang, Y.Y.; Tsai, M.Y. A smart IoT system for waste management. In Proceedings of the 2018 1st International Cognitive Cities Conference (IC3), Okinawa, Japan, 7–9 August 2018; pp. 202–203. [Google Scholar]
- Durga, S.; Nag, R.; Daniel, E. Survey on machine learning and deep learning algorithms used in internet of things (IoT) healthcare. In Proceedings of the 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 27–29 March 2019; pp. 1018–1022. [Google Scholar]
- Hsu, H.-T.; Jong, G.-J.; Chen, J.-H.; Jhe, C.-G. Improve Iot Security System of Smart-Home by Using Support Vector Machine. In Proceedings of the 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), Singapore, 23–25 February 2019. [Google Scholar]
- Hussain, F.; Hussain, R.; Hassan, S.A.; Hossain, E. Machine learning in IoT security: Current solutions and future challenges. IEEE Commun. Surv. Tutorials 2020, 22, 1686–1721. [Google Scholar] [CrossRef]
- Joyia, G.J.; Liaqat, R.M.; Farooq, A.; Rehman, S. Internet of medical things (IoMT): Applications, benefits and future challenges in healthcare domain. J. Commun. 2017, 12, 240–247. [Google Scholar] [CrossRef]
- Ojha, T.; Misra, S.; Raghuwanshi, N.S. Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Comput. Electron. Agric. 2015, 118, 66–84. [Google Scholar] [CrossRef]
- Zhang, S.; Zhang, S.; Chen, X.; Huo, X. Cloud computing research and development trend. In Proceedings of the 2010 Second International Conference on Future Networks, Washington, DC, USA, 22–24 January 2010; pp. 93–97. [Google Scholar]
- Pardini, K.; Rodrigues, J.J.; Diallo, O.; Das, A.K.; de Albuquerque, V.H.C.; Kozlov, S.A. A smart waste management solution geared towards citizens. Sensors 2020, 20, 2380. [Google Scholar] [CrossRef] [PubMed]
- Evans, D. The Internet of Things: How the Next Evolution of the Internet Is Changing Everything; Cisco Internet Business Solutions Group (IBSG): San Jose, CA, USA, 2011. [Google Scholar]
- Transforma Insights, Number of Internet of Things (IoT) Connected Devices Worldwide from 2019 to 2021, with Forecasts from 2022 to 2030 (in Billions). Statista. Available online: https://www.statista.com/statistics/1183457/iot-connected-devices-worldwide/ (accessed on 14 June 2023).
- Halcox, J.P.; Wareham, K.; Cardew, A.; Gilmore, M.; Barry, J.P.; Phillips, C.; Gravenor, M.B. Assessment of remote heart rhythm sampling using the AliveCor heart monitor to screen for atrial fibrillation: The REHEARSE-AF study. Circulation 2017, 136, 1784–1794. [Google Scholar] [CrossRef]
- Baker, S.B.; Xiang, W.; Atkinson, I. Internet of things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access 2017, 5, 26521–26544. [Google Scholar] [CrossRef]
- Khan, M.A. Challenges facing the application of IoT in medicine and healthcare. Int. J. Comput. Inf. Manuf. (IJCIM) 2021, 1, 39–55. [Google Scholar] [CrossRef]
- Javaid, M.; Khan, I.H. Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic. J. Oral Biol. Craniofacial Res. 2021, 11, 209–214. [Google Scholar] [CrossRef]
- Shah, S.T.U.; Yar, H.; Khan, I.; Ikram, M.; Khan, H. Internet of things-based healthcare: Recent advances and challenges. Appl. Intell. Technol. Healthc. 2019, 153–162. [Google Scholar] [CrossRef]
- Yuehong, Y.I.N.; Zeng, Y.; Chen, X.; Fan, Y. The internet of things in healthcare: An overview. J. Ind. Inf. Integr. 2016, 1, 3–13. [Google Scholar]
- Maksimović, M.; Vujović, V.; Periśić, B. A custom Internet of Things healthcare system. In Proceedings of the 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), Aveiro, Portugal, 7–20 June 2015; pp. 1–6. [Google Scholar]
- Tekeste Habte, T.; Saleh, H.; Mohammad, B.; Ismail, M. IoT for healthcare. In Ultra Low Power ECG Processing System for IoT Devices; Springer: Berlin/Heidelberg, Germany, 2019; pp. 7–12. [Google Scholar]
- Farahani, B.; Firouzi, F.; Chakrabarty, K. Healthcare iot. In Intelligent Internet of Things: From Device to Fog and Cloud; Springer: Cham, Switzerland, 2020; pp. 515–545. [Google Scholar] [CrossRef]
- Laplante, P.A.; Laplante, N. The internet of things in healthcare: Potential applications and challenges. IT Prof. 2016, 18, 2–4. [Google Scholar] [CrossRef]
- Somasundaram, R.; Thirugnanam, M. Review of security challenges in healthcare internet of things. Wirel. Netw. 2021, 27, 5503–5509. [Google Scholar] [CrossRef]
- Selvaraj, S.; Sundaravaradhan, S. Challenges and opportunities in IoT healthcare systems: A systematic review. Appl. Sci. 2020, 2, 139. [Google Scholar] [CrossRef]
- Elijah, O.; Rahman, T.A.; Orikumhi, I.; Leow, C.Y.; Hindia, M.N. An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet Things J. 2018, 5, 3758–3773. [Google Scholar] [CrossRef]
- Mueller, N.; Gerber, J.; Johnston, M. Closing yield gaps through nutrient and water management. Nature 2012, 490, 254–257. [Google Scholar] [CrossRef]
- Tao, W.; Zhao, L.; Wang, G.; Liang, R. Review of the internet of things communication technologies in smart agriculture and challenges. Comput. Electron. Agric. 2021, 189, 106352. [Google Scholar] [CrossRef]
- Verdouw, C.; Wolfert, S.; Tekinerdogan, B. Internet of Things in agriculture. CABI Rev. 2016, 2016, 1–12. [Google Scholar] [CrossRef]
- Tzounis, A.; Katsoulas, N.; Bartzanas, T.; Kittas, C. Internet of Things in agriculture, recent advances and future challenges. Biosyst. Eng. 2017, 164, 31–48. [Google Scholar] [CrossRef]
- Gondchawar, N.; Kawitkar, R.S. IoT based smart agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 2016, 5, 838–842. [Google Scholar]
- Placidi, P.; Gasperini, L.; Grassi, A.; Cecconi, M.; Scorzoni, A. Characterization of low-cost capacitive soil moisture sensors for IoT networks. Sensors 2020, 20, 3585. [Google Scholar] [CrossRef]
- Kour, V.P.; Arora, S. Recent developments of the internet of things in agriculture: A survey. IEEE Access 2020, 8, 129924–129957. [Google Scholar] [CrossRef]
- Dlodlo, N.; Kalezhi, J. The internet of things in agriculture for sustainable rural development. In Proceedings of the 2015 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 17–20 May 2015; pp. 13–18. [Google Scholar]
- Sinha, B.B.; Dhanalakshmi, R. Recent advancements and challenges of Internet of Things in smart agriculture: A survey. Future Gener. Comput. Syst. 2022, 126, 169–184. [Google Scholar] [CrossRef]
- Rajeswari, S.; Suthendran, K.; Rajakumar, K. A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics. In Proceedings of the 2017 International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India, 23–24 June 2017; pp. 1–5. [Google Scholar]
- Morais, R.; Mendes, J.; Silva, R.; Silva, N.; Sousa, J.J.; Peres, E. A versatile, low-power and low-cost IoT device for field data gathering in precision agriculture practices. Agriculture 2021, 11, 619. [Google Scholar] [CrossRef]
- Zhang, X.; Cao, Z.; Dong, W. Overview of edge computing in the agricultural internet of things: Key technologies, applications, challenges. IEEE Access 2020, 8, 141748–141761. [Google Scholar] [CrossRef]
- Kassim, M.R.M. Iot applications in smart agriculture: Issues and challenges. In Proceedings of the 2020 IEEE Conference on Open Systems (ICOS), Penang, Malaysia, 17–19 November 2020; pp. 19–24. [Google Scholar]
- Burroughs, J. AN236—X-10 Home Automation using the PIC16F877A. Available online: https://www.yumpu.com/en/document/view/27982893/an236-x-10-home-automation-using-the-pic16f877a-microchip (accessed on 17 July 2023).
- Domb, M. Smart home systems based on internet of things. In Internet of Things (IoT) for Automated and Smart Applications; IntechOpen: London, UK, 2019. [Google Scholar]
- Moser, K.; Harder, J.; Koo, S.G. Internet of things in home automation and energy efficient smart home technologies. In Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, 5–8 October 2014; pp. 1260–1265. [Google Scholar]
- Wang, M.; Zhang, G.; Zhang, C.; Zhang, J.; Li, C. An IoT-based appliance control system for smart homes. In Proceedings of the 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), Beijing, China, 9–11 June 2013; pp. 744–747. [Google Scholar]
- Jo, T.H.; Ma, J.H.; Cha, S.H.N. Elderly perception on the internet of things-based integrated smart-home system. Sensors 2021, 21, 1284. [Google Scholar] [CrossRef]
- Strategy Analytics. Strategy Analytics: Global Smart Home Market Roaring Back in 2021. Business Wire, 6 July 2021. Available online: https://www.businesswire.com/news/home/20210706005692/en/Strategy-Analytics-Global-Smart-Home-Market-Roaring-Back-in-2021 (accessed on 14 June 2023).
- Darianian, M.; Michael, M.P. Smart home mobile RFID-based Internet-of-Things systems and services. In Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering, Phuket, Thailand, 20–22 December 2008; pp. 116–120. [Google Scholar]
- Jia, X.; Feng, Q.; Fan, T.; Lei, Q. RFID technology and its applications in Internet of Things (IoT). In Proceedings of the 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, China, 21–23 April 2012; pp. 1282–1285. [Google Scholar]
- Tan, P.; Wu, H.; Li, P.; Xu, H. Teaching management system with applications of RFID and IoT technology. Educ. Sci. 2018, 8, 26. [Google Scholar] [CrossRef]
- Nisar, K.; Ibrahim, A.A.A.; Park, Y.J.; Hzou, Y.K.; Memon, S.K.; Naz, N.; Welch, I. Indoor roaming activity detection and analysis of elderly people using RFID technology. In Proceedings of the 2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS), Ipoh, Malaysia, 19 September 2019; pp. 174–179. [Google Scholar]
- Stojkoska, B.L.R.; Trivodaliev, K.V. A review of Internet of Things for smart home: Challenges and solutions. J. Clean. Prod. 2017, 140, 1454–1464. [Google Scholar] [CrossRef]
- Samuel, S.S.I. A review of connectivity challenges in IoT-smart home. In Proceedings of the 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, Oman, 15–16 March 2016; pp. 1–4. [Google Scholar]
- Ray, A.K.; Bagwari, A. IoT based Smart home: Security Aspects and security architecture. In Proceedings of the 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), Gwalior, India, 10–12 April 2020; pp. 218–222. [Google Scholar]
- Dorri, A.; Kanhere, S.S.; Jurdak, R.; Gauravaram, P. Blockchain for IoT security and privacy: The case study of a smart home. In Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, Big Island, HI, USA, 13–17 March 2017; pp. 618–623. [Google Scholar]
- Kim, T.H.; Ramos, C.; Mohammed, S. Smart city and IoT. Future Gener. Comput. Syst. 2017, 76, 159–162. [Google Scholar] [CrossRef]
- Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M. Internet of things for smart cities. IEEE Internet Things J. 2014, 1, 22–32. [Google Scholar] [CrossRef]
- Zhang, K.; Ni, J.; Yang, K.; Liang, X.; Ren, J.; Shen, X.S. Security and privacy in smart city applications: Challenges and solutions. IEEE Commun. Mag. 2017, 55, 122–129. [Google Scholar] [CrossRef]
- Tragos, E.Z.; Angelakis, V.; Fragkiadakis, A.; Gundlegard, D.; Nechifor, C.S.; Oikonomou, G.; Gavras, A. Enabling reliable and secure IoT-based smart city applications. In Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), Budapest, Hungary, 24–28 March 2014; pp. 111–116. [Google Scholar]
- Khajenasiri, I.; Estebsari, A.; Verhelst, M.; Gielen, G. A review on Internet of Things solutions for intelligent energy control in buildings for smart city applications. Energy Procedia 2017, 111, 770–779. [Google Scholar] [CrossRef]
- Misbahuddin, S.; Zubairi, J.A.; Saggaf, A.; Basuni, J.; Sulaiman, A.; Al-Sofi, A. IoT based dynamic road traffic management for smart cities. In Proceedings of the 2015 12th International Conference on High-Capacity Optical Networks and Enabling/Emerging Technologies (HONET), Islamabad, Pakistan, 21–23 December 2015; pp. 1–5. [Google Scholar]
- Sharif, A.; Li, J.; Khalil, M.; Kumar, R.; Sharif, M.I.; Sharif, A. Internet of things—Smart traffic management system for smart cities using big data analytics. In Proceedings of the 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 15–17 December 2017; pp. 281–284. [Google Scholar]
- Rizwan, P.; Suresh, K.; Babu, M.R. Real-time smart traffic management system for smart cities by using Internet of Things and big data. In Proceedings of the 2016 International Conference on Emerging Technological Trends (ICETT), Kollam, India, 21–22 October 2016; pp. 1–7. [Google Scholar]
- Javaid, S.; Sufian, A.; Pervaiz, S.; Tanveer, M. Smart traffic management system using Internet of Things. In Proceedings of the 2018 20th International Conference on Advanced Communication Technology (ICACT), Chuncheon, Republic of Korea, 11–14 February 2018; pp. 393–398. [Google Scholar]
- Rabby, M.K.M.; Islam, M.M.; Imon, S.M. A review of IoT application in a smart traffic management system. In Proceedings of the 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 26–28 September 2019; pp. 280–285. [Google Scholar]
- Kaza, S.; Yao, L.C.; Bhada-Tata, P.; Van Woerden, F. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050; Urban Development; World Bank: Washington, DC, USA, 2018. Available online: https://openknowledge.worldbank.org/handle/10986/30317 (accessed on 24 April 2020).
- Haribabu, P.; Kassa, S.R.; Nagaraju, J.; Karthik, R.; Shirisha, N.; Anila, M. Implementation of an smart waste management system using IoT. In Proceedings of the 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, India, 7–8 December 2017; pp. 1155–1156. [Google Scholar]
- Oralhan, Z.; Oralhan, B.; Yiğit, Y. Smart city application: Internet of things (IoT) technologies based smart waste collection using data mining approach and ant colony optimization. Int. Arab. J. Inf. Technol. 2017, 14, 423–427. [Google Scholar]
- Mdukaza, S.; Isong, B.; Dladlu, N.; Abu-Mahfouz, A.M. Analysis of IoT-enabled solutions in smart waste management. In Proceedings of the IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, USA, 21–23 October 2018; pp. 4639–4644. [Google Scholar]
- Hasan, B.M.; Yeazdani, A.M.M.; Istiaque, L.M.; Chowdhury, R.M.K. Smart Waste Management System Using IoT. Ph.D. Thesis, BRAC University, Dhaka, Bangladesh, 2017. [Google Scholar]
- Chen, E.T. The internet of things: Opportunities, issues, and challenges. In The Internet of Things in the Modern Business Environment; IGI Global: Hershey, PA, USA, 2017; pp. 167–187. [Google Scholar]
- Gutierrez, J.M.; Jensen, M.; Henius, M.; Riaz, T. Smart waste collection system based on location intelligence. Procedia Comput. Sci. 2015, 61, 120–127. [Google Scholar] [CrossRef]
- Dais, S. Industry 4.0—Offense, vision, approach. In Industry 4.0 in Production, Automation and Logistics. Application, Technologies and Migration; Springer: Wiesbaden, Switzerland, 2014; pp. 625–634. [Google Scholar]
- Kolberg, D.; Zuhlke, D. Lean automation enabled by Industry 4.0 technologies. IFAC PapersOnLine 2015, 48, 1870–1875. [Google Scholar] [CrossRef]
- Bartodziej, C.J. The Concept Industry 4.0—An Empirical Analysis of Technologies and Applications in Production Logistics; Springer Fachmedien Wiesbaden: Wiesbaden, Switzerland, 2017. [Google Scholar]
- Shrouf, F.; Ordieres, J.; Miragliotta, G. Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. In Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, Selangor, Malaysia, 9–12 December 2014; pp. 697–701. [Google Scholar]
- Yin, Y.; Stecke, K.E.; Li, D. The evolution of production systems from Industry 2.0 through Industry 4.0. Int. J. Prod. Res. 2018, 56, 848–861. [Google Scholar] [CrossRef]
- Sarker, I.H.; Khan, A.I.; Abushark, Y.B.; Alsolami, F. Internet of things (iot) security intelligence: A comprehensive overview, machine learning solutions and research directions. In Mobile Networks and Applications; Springer: Berlin/Heidelberg, Germany, 2022; pp. 1–17. [Google Scholar]
- Seralathan, Y.; Oh, T.T.; Jadhav, S.; Myers, J.; Jeong, J.P.; Kim, Y.H.; Kim, J.N. IoT security vulnerability: A case study of a Web camera. In Proceedings of the 2018 20th International Conference on Advanced Communication Technology (ICACT), Chuncheon, Republic of Korea, 11–14 February 2018; pp. 172–177. [Google Scholar]
- De Donno, M.; Dragoni, N.; Giaretta, A.; Spognardi, A. DDoS-capable IoT malwares: Comparative analysis and Mirai investigation. Secur. Commun. Netw. 2018, 2018, 7178164. [Google Scholar] [CrossRef]
- Kambourakis, G.; Kolias, C.; Stavrou, A. The mirai botnet and the iot zombie armies. In Proceedings of the MILCOM 2017—2017 IEEE Military Communications Conference (MILCOM), Baltimore, MD, USA, 23–25 October 2017; pp. 267–272. [Google Scholar]
- Su, J.; Vasconcellos, D.V.; Prasad, S.; Sgurra, D.; Feng, Y.; Sakurai, K. Lightweight classification of IoT malware based on image recognition. In Proceedings of the 2018 IEEE 42Nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, 23–27 July 2018; Volume 2, pp. 664–669. [Google Scholar]
- Xiao, L.; Wan, X.; Lu, X.; Zhang, Y.; Wu, D. IoT security techniques based on machine learning: How do IoT devices use AI to enhance security? IEEE Signal Process. Mag. 2018, 35, 41–49. [Google Scholar] [CrossRef]
- Nawir, M.; Amir, A.; Yaakob, N.; Lynn, O.B. Internet of Things (IoT): Taxonomy of security attacks. In Proceedings of the 2016 3rd International Conference on Electronic Design (ICED), Phuket, Thailand, 11–12 August 2016; pp. 321–326. [Google Scholar]
- Bertino, E.; Islam, N. Botnets and internet of things security. Computer 2017, 50, 76–79. [Google Scholar] [CrossRef]
- You, I.; Trnka, M.; Cerny, T.; Stickney, N. Survey of Authentication and Authorization for the Internet of Things. Secur. Commun. Netw. 2018, 2018, 4351603. [Google Scholar] [CrossRef]
- Santoso, F.K.; Vun, N.C. Securing IoT for smart home system. In Proceedings of the 2015 International Symposium on Consumer Electronics (ISCE), Madrid, Spain, 24–26 June 2015; pp. 1–2. [Google Scholar]
- Noura, M.; Atiquzzaman, M.; Gaedke, M. Interoperability in internet of things: Taxonomies and open challenges. Mob. Netw. Appl. 2019, 24, 796–809. [Google Scholar] [CrossRef]
- Lee, E.; Seo, Y.D.; Oh, S.R.; Kim, Y.G. A Survey on Standards for Interoperability and Security in the Internet of Things. IEEE Commun. Surv. Tutorials 2021, 23, 1020–1047. [Google Scholar] [CrossRef]
- Salman, T.; Jain, R. Networking protocols and standards for internet of things. In Internet of Things and Data Analytics Handbook; Springer: Berlin/Heidelberg, Germany, 2017; pp. 215–238. [Google Scholar]
- Pal, A.; Rath, H.K.; Shailendra, S.; Bhattacharyya, A. IoT standardization: The road ahead. In Internet of Things-Technology, Applications and Standardization; IntechOpen: London, UK, 2018; pp. 53–74. [Google Scholar]
- Bröring, A.; Ziller, A.; Charpenay, V.; Thuluva, A.S.; Anicic, D.; Schmid, S.; Seidel, C. The big iot api-semantically enabling iot interoperability. IEEE Pervasive Comput. 2018, 17, 41–51. [Google Scholar] [CrossRef]
- Botta, A.; De Donato, W.; Persico, V.; Pescapé, A. Integration of cloud computing and internet of things: A survey. Future Gener. Comput. Syst. 2016, 56, 684–700. [Google Scholar] [CrossRef]
- Stergiou, C.; Psannis, K.E.; Gupta, B.B.; Ishibashi, Y. Security, privacy efficiency of sustainable cloud computing for big data IoT. Sustain. Comput. Inform. Syst. 2018, 19, 174–184. [Google Scholar] [CrossRef]
- Sadeeq, M.M.; Abdulkareem, N.M.; Zeebaree, S.R.; Ahmed, D.M.; Sami, A.S.; Zebari, R.R. IoT and Cloud computing issues, challenges and opportunities: A review. Qubahan Acad. J. 2021, 1, 1–7. [Google Scholar] [CrossRef]
- Lu, Y.; Da Xu, L. Internet of Things (IoT) cybersecurity research: A review of current research topics. IEEE Internet Things J. 2018, 6, 2103–2115. [Google Scholar] [CrossRef]
- Biswas, A.R.; Giaffreda, R. IoT and cloud convergence: Opportunities and challenges. In Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Republic of Korea, 6–8 March 2014; pp. 375–376. [Google Scholar]
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Chataut, R.; Phoummalayvane, A.; Akl, R. Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0. Sensors 2023, 23, 7194. https://doi.org/10.3390/s23167194
Chataut R, Phoummalayvane A, Akl R. Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0. Sensors. 2023; 23(16):7194. https://doi.org/10.3390/s23167194
Chicago/Turabian StyleChataut, Robin, Alex Phoummalayvane, and Robert Akl. 2023. "Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0" Sensors 23, no. 16: 7194. https://doi.org/10.3390/s23167194