Special Issue "Big Data and Internet of Thing"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 15 March 2018

Special Issue Editors

Guest Editor
Assoc. Prof. Simon James Fong

Department of Computer and Information Science, Data Analytics and Collaborative Computing Laboratory, University of Macau, Taipa, Macau SAR
Website1 | Website2 | E-Mail
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Guest Editor
Prof. Sabah Mohammed

Department of Computer Science, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada
Website | E-Mail
Phone: 1 807 3438777
Interests: machine learning; mobile computing; IoT, web intelligence; health informatics; big data

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively, and is in the service or individuals, organizations, and businesses. In the process of doing so, a large amount of data with different formats and content should be efficiently processed, quickly and intelligently, through advanced algorithms, techniques, models, and tools. This new paradigm is enabled by the maturity of several different technologies, including the Internet, wireless communication, cloud computing, sensors, big data analytics, and machine learning algorithms.

Big data is another paradigm to describe the processing of data to have it “make sense” to people using IoT. Big data has five characteristics: Volume, velocity, variety, veracity, and value. There are reports that businesses and research communities equipped with big data skills can provide additional incentives, opportunities, funding, and innovation to their long-term strategies. The new knowledge, tools, practices, and infrastructure produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, Earth science, security, and risk analysis.

Coupling IoT and big data will provide new synergies in all aspects, including technological advances, innovative ideas, intelligent services, smart cities incentives, and useful applications. IoT that serves as data collection platforms, and big data, which is the gold mine at the backend, are awaiting big data analytics to discover valuable insights. These two areas of IoT and big data complement each other, working hand-in-hand naturally, enabling new services and applications for improving our daily lives, as well as for better city planning and disaster and emergency control.

The aim of this Special Issue is to compile and publish novel ideas relating to the areas of IoT and/or big data, especially on new applications and related technology when these two fields fuse. We would like to solicit contributions from researchers from different disciplines, industrial practitioners, government agencies, and academia to discuss new ideas, research questions, recent results, and future challenges in this converging R&D field of IoT and big data. Topics including, but not limited to, the following are sought for submission.

  • Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
  • Modelling, Experiments, Sharing Technologies & Platforms
  • SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
  • Analytics, Intelligence and Knowledge Engineering
  • Data Centred Enabled Technologies
  • Sensor, Wireless Technologies, APIs
  • Data Management for Large Data
  • Security, Privacy and Risk
  • Software Frameworks (MapReduce, Spark, etc.) and Simulations
  • Volume, Velocity, Variety, Veracity and Value
  • Social Science and Implications for Big Data
  • Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
  • Big Data Algorithm, Methodology, Business Models and Challenges
  • Wireless Systems and Applications
  • Software Engineering for Big Data Analytics
  • Smart City and Transportation
  • Large-scale Information Systems and Applications
  • Energy, Environment and Natural Science Applications
  • Social Networks Analysis, Media and e-Government
  • Risk Modelling, Simulation, Legal Challenges
  • Open data: Issues, Services and Solutions
  • Case Studies of Real Adoption
  • Healthcare Services and Health Informatics
  • Cancer and Tumour Studies with Big Data
  • Data and Knowledge Management
  • Context-awareness and Location-awareness
  • Security, Privacy and Trust
  • Performance Evaluation and Modelling
  • Machine to Machine Communications
  • Intelligent Systems for IoT and Services Computing
  • Energy Efficiency
  • Social Implications for IoT
  • Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
  • Artificial Intelligence
  • Internet of Things
  • Sensors Technologies

Associate Prof. Simon James Fong
Prof. Sabah Mohammed
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.



Published Papers (5 papers)

View options order results:
result details:
Displaying articles 1-5
Export citation of selected articles as:

Research

Open AccessArticle A Design Space for Virtuality-Introduced Internet of Things
Future Internet 2017, 9(4), 60; doi:10.3390/fi9040060
Received: 12 September 2017 / Revised: 29 September 2017 / Accepted: 29 September 2017 / Published: 2 October 2017
PDF Full-text (2055 KB) | HTML Full-text | XML Full-text
Abstract
Augmented reality (AR) and virtual reality (VR) technologies have been dramatically expanded in recent years. In the near future, we expect that diverse digital services that employ Internet of Things (IoT) technologies enhanced with AR and VR will become more popular. Advanced information
[...] Read more.
Augmented reality (AR) and virtual reality (VR) technologies have been dramatically expanded in recent years. In the near future, we expect that diverse digital services that employ Internet of Things (IoT) technologies enhanced with AR and VR will become more popular. Advanced information technologies will enable the physical world to be fused with the virtual world. These digital services will be advanced via virtuality, which means that things that do not physically exist make people believe in their existence. We propose a design space for digital services that are enhanced via virtuality based on insights extracted from three case studies that we have developed and from discussions in focus groups that analyze how existing commercial IoT products proposed in a commercial crowdfunding platform, Kickstarter, could be enhanced through virtuality. The derived design space offers three dimensions to design a digital service to fuse IoT technologies with virtuality: (1) Taxonomy of IoT; (2) Visualizing Level, and (3) Virtuality Level. The design space will help IoT-based digital service designers to develop advanced future IoT products that incorporate virtuality. Full article
(This article belongs to the Special Issue Big Data and Internet of Thing)
Figures

Figure 1

Open AccessArticle Cost-Aware IoT Extension of DISSECT-CF
Future Internet 2017, 9(3), 47; doi:10.3390/fi9030047
Received: 18 July 2017 / Revised: 31 July 2017 / Accepted: 10 August 2017 / Published: 14 August 2017
PDF Full-text (727 KB) | HTML Full-text | XML Full-text
Abstract
In the age of the Internet of Things (IoT), more and more sensors, actuators and smart devices get connected to the network. Application providers often combine this connectivity with novel scenarios involving cloud computing. Before implementing changes in these large-scale systems, an in-depth
[...] Read more.
In the age of the Internet of Things (IoT), more and more sensors, actuators and smart devices get connected to the network. Application providers often combine this connectivity with novel scenarios involving cloud computing. Before implementing changes in these large-scale systems, an in-depth analysis is often required to identify governance models, bottleneck situations, costs and unexpected behaviours. Distributed systems simulators help in such analysis, but they are often problematic to apply in this newly emerging domain. For example, most simulators are either too detailed (e.g., need extensive knowledge on networking), or not extensible enough to support the new scenarios. To overcome these issues, we discuss our IoT cost analysis oriented extension of DIScrete event baSed Energy Consumption simulaTor for Clouds and Federations (DISSECT-CF). Thus, we present an in-depth analysis of IoT and cloud related pricing models of the most widely used commercial providers. Then, we show how the fundamental properties (e.g., data production frequency) of IoT entities could be linked to the identified pricing models. To allow the adoption of unforeseen scenarios and pricing schemes, we present a declarative modelling language to describe these links. Finally, we validate our extensions by analysing the effects of various identified pricing models through five scenarios coming from the field of weather forecasting. Full article
(This article belongs to the Special Issue Big Data and Internet of Thing)
Figures

Figure 1

Open AccessArticle Digital Pre-Distortion of Carrier Frequency Offset for Reliable Wi-Fi Enabled IoTs
Future Internet 2017, 9(3), 46; doi:10.3390/fi9030046
Received: 15 July 2017 / Revised: 3 August 2017 / Accepted: 7 August 2017 / Published: 9 August 2017
PDF Full-text (340 KB) | HTML Full-text | XML Full-text
Abstract
The Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have been developed to use narrowband communication. However, narrowband transmission
[...] Read more.
The Internet of Things (IoTs) will change the requirements for wireless connectivity significantly, mainly with regard to service coverage, data rate, and energy efficiency. Therefore, to improve robustness and reliability, WiFi-enabled IoT devices have been developed to use narrowband communication. However, narrowband transmission in WiFi such as IEEE 802.11ah causes relatively higher frequency error due to the reduced subcarrier space, which is larger than legacy wireless local area networks (WLANs) in 2.4/5 GHz frequencies. In a direct conversion receiver, this error degrades the signal quality due to the presence of direct current (DC) offset cancellation circuits. In this paper, a digital carrier frequency offset (CFO) predistortion scheme is proposed for a reliable communication link in dense networks. Evaluation results demonstrate that the proposed scheme can improve received signal quality in terms of packet error rate and error vector magnitude. Full article
(This article belongs to the Special Issue Big Data and Internet of Thing)
Figures

Figure 1

Open AccessArticle Interference-Aware Opportunistic Dynamic Energy Saving Mechanism for Wi-Fi Enabled IoTs
Future Internet 2017, 9(3), 38; doi:10.3390/fi9030038
Received: 7 June 2017 / Revised: 30 June 2017 / Accepted: 12 July 2017 / Published: 18 July 2017
PDF Full-text (462 KB) | HTML Full-text | XML Full-text
Abstract
The wireless local area network (WLAN) is one of the most popular wireless technologies offering connectivity today, and one of the candidates for the internet of things (IoTs). However, WLAN’s inefficiency in terms of complexity and relatively large power consumption compared with other
[...] Read more.
The wireless local area network (WLAN) is one of the most popular wireless technologies offering connectivity today, and one of the candidates for the internet of things (IoTs). However, WLAN’s inefficiency in terms of complexity and relatively large power consumption compared with other wireless standards has been reported as a major barrier for IoTs applications. This paper proposes an interference-aware opportunistic dynamic energy saving mechanism to improve energy efficiency for Wi-Fi enabled IoTs. The proposed scheme optimizes operating clock frequencies adaptively for signal processing when the mobile station transmits packets in partial sub-channels. Evaluation results demonstrate that the proposed scheme improves energy efficiency by approximately 34%. Full article
(This article belongs to the Special Issue Big Data and Internet of Thing)
Figures

Figure 1

Open AccessArticle Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things
Future Internet 2017, 9(3), 28; doi:10.3390/fi9030028
Received: 7 June 2017 / Revised: 24 June 2017 / Accepted: 24 June 2017 / Published: 29 June 2017
PDF Full-text (2702 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, real-time monitoring of multiple lead-acid batteries based on Internet of things is proposed and evaluated. Our proposed system monitors and stores parameters that provide an indication of the lead acid battery’s acid level, state of charge, voltage, current, and the
[...] Read more.
In this paper, real-time monitoring of multiple lead-acid batteries based on Internet of things is proposed and evaluated. Our proposed system monitors and stores parameters that provide an indication of the lead acid battery’s acid level, state of charge, voltage, current, and the remaining charge capacity in a real-time scenario. To monitor these lead–acid battery parameters, we have developed a data acquisition system by building an embedded system, i.e., dedicated hardware and software. The wireless local area network is used as the backbone network. The information collected from all the connected battery clients in the system is analyzed in an asynchronous transmission control protocol/user datagram protocol-based C♯ server program running on a personal computer (server) to determine important parameters like the state of charge of the individual battery, and if required, appropriate action can be taken in advance to prevent excessive impairment to the battery. Further, data are also displayed on an Android mobile device and are stored in an SQL server database. We have developed a real prototype to devise an end product for our proposed system. Full article
(This article belongs to the Special Issue Big Data and Internet of Thing)
Figures

Figure 1

Journal Contact

MDPI AG
Future Internet Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
E-Mail: 
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to Special Issue Edit a special issue Review for Future Internet
logo
loading...
Back to Top