Social Internet of Vehicles: Complexity, Adaptivity, Issues and Beyond

Siddiqa, Ayesha and Shah, Munam Ali and Khattak, Hasan Ali and Akhunzada, Adnan and Ali, Ihsan and Razak, Zaidi and Gani, Abdullah (2018) Social Internet of Vehicles: Complexity, Adaptivity, Issues and Beyond. IEEE Access, 6. pp. 62089-62106. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2018.2872928.

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Official URL: https://doi.org/10.1109/ACCESS.2018.2872928

Abstract

Social Internet of Things (SIoT) is a specialized form of adaptive networks, where any change in one node can affect other nodes in the network. Millions of devices, including vehicles, buildings, healthcare, industries, and several other types of devices, share and exchange sensitive data among each other. Interconnection of these devices changes the paradigms of the world around us and puts a great effect on the overall society. The number of nodes, types of devices, layout of the overall network, and sensitivity of the data adds more and more complexity in the domain of SIoT. In this paper, our contribution is twofold, first, we provide a brief and comprehensive overview of the social aspects of the IoT by selecting the most recent papers to investigate the complexity, adaptivity, and other social aspects of the IoT and their implications. The main aim of this paper is to analyze the benefits of IoT to the society, social acceptance of IoTs, and social connectivity of different age groups. Second, we forecast the future trends and predict the world in the year 2020. We provide a detailed analysis by using several different data tables to present the future trends of different aspects of SIoT. With this survey, we aim to provide an easy and concise view of different challenges in implementing SIoT and how it will affect the future smart cities and overall impact on the society.

Item Type: Article
Funders: Faculty of Computer Science and Information Technology, University of Malaya, under a special allocation of the Post Graduate Fund, under Project RP036(A,B,C)-15AET, and in part by the Postgraduate Research under Grant PG035-2016A
Uncontrolled Keywords: Internet of Things; Smart cities; social Internet of Things; vehicular networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 12 Mar 2019 02:58
Last Modified: 12 Mar 2019 02:58
URI: http://eprints.um.edu.my/id/eprint/20665

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