The Emergence of Internet of Things (IoT): Connecting Anything, Anywhere?

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".

Deadline for manuscript submissions: closed (30 October 2018) | Viewed by 42412

Special Issue Editors


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Guest Editor
Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, Kuantan 26300, Malaysia
Interests: wireless communication; Internet of Things; wireless sensor network; vehicular networks; cognitive radio networks and 5G
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computing and Digital Technology, Birmingham City University (BCU), Millennium Point, Birmingham B4 7XG, UK
Interests: information theory; wireless communications and sensor networks; Internet of Things; applied machine learning and data analytics; intelligence system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Internet of Things (IoT) is an emerging technology for enabling physical objects into smart things with the help of existing network infrastructure. The applications of IoT outrun every sector of our modern communication paradigm, which provides users with smart services. Using the ubiquitous computing capability of IoT provides a platform for collecting heterogeneous and massive amounts of data from different smart devices, which paves the way for decision making using Big Data analytics. IoT is expected to make complex information systems that sum up the fusion of Cloud, Big Data, Artificial Intelligence and Machine Learning. Collecting and processing private information from the deployment of autonomous objects in IoT is becoming a main concern in term of privacy and security challenges. By developing architecturally-complete interoperability frameworks we can conserve security issues in the different application domains of IoT environments.

The current situation raises new challenges for researchers to develop new applications that take advantage of existing technology, as well as contribute to improve them. This implies topics such as cloud computing, smart vehicular system, new security tools, new uses and applications, Big Data tools in IoT data analytics, communication protocols adapted to these concrete experiences, etc.

This Special Issue will cover the latest contributions to IoT application frameworks. Appropriate topics include, but are not limited to:

  • State of art on IoT
  • IoT on Environmental monitoring
  • IoT on Healthcare
  • IoT on Security and surveillance
  • IoT on Smart environment (home, offices, cities)
  • IoT on Transportation and logistics (automotive)
  • IoT Enabling technologies
  • IoT enabled Semantic web technologies
  • IoT and Cloud computing
  • IoT and Big Data
  • IoT enabled Technology based Learning

Dr. Md. Arafatur Rahman
Dr. A. Taufiq Asyhari
Guest Editors

Manuscript Submission Information

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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. Computers is an international peer-reviewed open access monthly 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 1800 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.

Keywords

  • IoT
  • Smart object
  • Framework
  • Protocols
  • Technology
  • Application
  • Security
  • Mobile computing
  • Cloud services
  • Data collection
  • Big Data

Published Papers (6 papers)

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Editorial

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4 pages, 164 KiB  
Editorial
The Emergence of Internet of Things (IoT): Connecting Anything, Anywhere
by Md Arafatur Rahman and A. Taufiq Asyhari
Computers 2019, 8(2), 40; https://doi.org/10.3390/computers8020040 - 17 May 2019
Cited by 42 | Viewed by 9170
Abstract
Internet of Things (IoT) plays the role of an expert’s technical tool by empowering physical resources into smart entities through existing network infrastructures. Its prime focus is to provide smart and seamless services at the user end without any interruption. The IoT paradigm [...] Read more.
Internet of Things (IoT) plays the role of an expert’s technical tool by empowering physical resources into smart entities through existing network infrastructures. Its prime focus is to provide smart and seamless services at the user end without any interruption. The IoT paradigm is aimed at formulating a complex information system with the combination of sensor data acquisition, efficient data exchange through networking, machine learning, artificial intelligence, big data, and clouds. Conversely, collecting information and maintaining the confidentiality of an independent entity, and then running together with privacy and security provision in IoT is the main concerning issue. Thus, new challenges of using and advancing existing technologies, such as new applications and using policies, cloud computing, smart vehicular system, protective protocols, analytics tools for IoT-generated data, communication protocols, etc., deserve further investigation. This Special Issue reviews the latest contributions of IoT application frameworks and the advancement of their supporting technology. It is extremely imperative for academic and industrial stakeholders to propagate solutions that can leverage the opportunities and minimize the challenges in terms of using this state-of-the-art technological development. Full article

Research

Jump to: Editorial

15 pages, 625 KiB  
Article
Resource Allocation Model for Sensor Clouds under the Sensing as a Service Paradigm
by Joel Guerreiro, Luís Rodrigues and Noélia Correia
Computers 2019, 8(1), 18; https://doi.org/10.3390/computers8010018 - 20 Feb 2019
Cited by 12 | Viewed by 6146
Abstract
The Sensing as a Service is emerging as a new Internet of Things (IoT) business model for sensors and data sharing in the cloud. Under this paradigm, a resource allocation model for the assignment of both sensors and cloud resources to clients/applications is [...] Read more.
The Sensing as a Service is emerging as a new Internet of Things (IoT) business model for sensors and data sharing in the cloud. Under this paradigm, a resource allocation model for the assignment of both sensors and cloud resources to clients/applications is proposed. This model, contrarily to previous approaches, is adequate for emerging IoT Sensing as a Service business models supporting multi-sensing applications and mashups of Things in the cloud. A heuristic algorithm is also proposed having this model as a basis. Results show that the approach is able to incorporate strategies that lead to the allocation of fewer devices, while selecting the most adequate ones for application needs. Full article
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13 pages, 581 KiB  
Article
Making Sense of the World: Framing Models for Trustworthy Sensor-Driven Systems
by Muffy Calder, Simon Dobson, Michael Fisher and Julie McCann
Computers 2018, 7(4), 62; https://doi.org/10.3390/computers7040062 - 15 Nov 2018
Cited by 3 | Viewed by 6040
Abstract
Sensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? Can we model them in a way that captures all the key [...] Read more.
Sensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? Can we model them in a way that captures all the key issues? We define two concepts: frames of reference and frames of function that help us organise models of sensor-based systems and their purpose. Examples from a smart water distribution network illustrate how frames offer a lens through which to organise and balance multiple views of the system. Frames aid communication between modellers, analysts and stakeholders, and distinguish the purpose of each model, which contributes towards our trust that the system fulfils its purpose. Full article
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15 pages, 916 KiB  
Article
Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems
by Abdullah Alamri
Computers 2018, 7(4), 51; https://doi.org/10.3390/computers7040051 - 08 Oct 2018
Cited by 39 | Viewed by 7328
Abstract
Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare IoT sensor technology obtains health-related data from patients, it needs to be integrated with the electronic healthcare records (EHR) system. [...] Read more.
Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare IoT sensor technology obtains health-related data from patients, it needs to be integrated with the electronic healthcare records (EHR) system. Most EHR systems have not been designed for integration with IoT technology; they have been designed to be more patient-centric management systems. The use of the IoT in EHR remains a long-term goal. Configuring IoT in EHR can enhance patient healthcare, enabling health providers to monitor their patients outside of the clinic. To assist physicians to access data resources efficiently, a data model that is semantic and flexible is needed to connect EHR data and IoT data that may help to provide true interoperability and integration. This research proposes a semantic middleware that exploits ontology to support the semantic integration and functional collaborations between IoT healthcare Information Systems and EHR systems. Full article
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15 pages, 371 KiB  
Article
Performance Evaluation of HARQ Schemes for the Internet of Things
by Lorenzo Vangelista and Marco Centenaro
Computers 2018, 7(4), 48; https://doi.org/10.3390/computers7040048 - 25 Sep 2018
Cited by 11 | Viewed by 5131
Abstract
Hybrid Automatic Repeat reQuest (HARQ) techniques are widely employed in the most important wireless systems, e.g., the Long Term Evolution (LTE) cellular standard, to increase the reliability of the communication. Despite these schemes have been widely studied in literature in the past several [...] Read more.
Hybrid Automatic Repeat reQuest (HARQ) techniques are widely employed in the most important wireless systems, e.g., the Long Term Evolution (LTE) cellular standard, to increase the reliability of the communication. Despite these schemes have been widely studied in literature in the past several years, the recent results obtained by Polyanskiy, Poor, and Verdú on the finite-blocklength regime disclosed new possibilities for the research on HARQ schemes. Indeed, new communications trends, which are usually part of the Internet of Things (IoT) paradigm, are characterized by very short packet sizes and a high reliability requirement and, therefore, they call for efficient HARQ techniques. In many scenarios, the energy efficiency of the communication plays a key role as well. In this paper, we aim at providing a comprehensive performance comparison of various kinds of HARQ schemes in the context of short-packet transmissions with energy constraints. We derive optimal power allocation strategies and we show that a minimum 50% energy saving can be achieved after very few transmission attempts if we enable packet combining at the receiver side. Full article
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20 pages, 2419 KiB  
Article
Connecting Smart Objects in IoT Architectures by Screen Remote Monitoring and Control
by Zebo Yang and Tatsuo Nakajima
Computers 2018, 7(4), 47; https://doi.org/10.3390/computers7040047 - 24 Sep 2018
Cited by 2 | Viewed by 7839
Abstract
Electronic visual display enabled by touchscreen technologies evolves as one of the universal multimedia output methods and a popular input intermediate with touch–interaction. As a result, we can always gain access of an intelligent machine by obtaining control of its display contents. Since [...] Read more.
Electronic visual display enabled by touchscreen technologies evolves as one of the universal multimedia output methods and a popular input intermediate with touch–interaction. As a result, we can always gain access of an intelligent machine by obtaining control of its display contents. Since remote screen sharing systems are also increasingly prevalent, we propose a cross-platform middleware infrastructure which supports remote monitoring and control functionalities based on remote streaming for networked intelligent devices such as smart phone, computer and smart watch, etc. and home appliances such as smart refrigerator, smart air-conditioner and smart TV, etc. We aim to connect all these devices with display screens, so as to make possible remote monitoring and controlling a certain device by whichever one (usually the nearest one) of display screens among the network. The system is a distributed network consisting of multiple modular nodes of server and client, and is compatible to prevalent operating systems such as Windows, macOS, Unix-like/Linux and Android, etc. Full article
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