- Title
- Internet-of-things-based smart cities : recent advances and challenges
- Creator
- Mehmood, Yasir; Ahmad, Farhan; Yaqoob, Ibrar; Adnane, Asma; Imran, Muhammad; Guizani, Sghaier
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186117
- Identifier
- vital:16821
- Identifier
-
https://doi.org/10.1109/MCOM.2017.1600514
- Identifier
- ISBN:0163-6804 (ISSN)
- Abstract
- The Internet of Things is a novel cutting edge technology that proffers to connect a plethora of digital devices endowed with several sensing, actuation, and computing capabilities with the Internet, thus offering manifold new services in the context of a smart city. The appealing IoT services and big data analytics are enabling smart city initiatives all over the world. These services are transforming cities by improving infrastructure and transportation systems, reducing traffic congestion, providing waste management, and improving the quality of human life. In this article, we devise a taxonomy to best bring forth a generic overview of the IoT paradigm for smart cities, integrated ICT, network types, possible opportunities and major requirements. Moreover, an overview of the up-to-date efforts from standard bodies is presented. Later, we give an overview of existing open source IoT platforms for realizing smart city applications followed by several exemplary case studies. In addition, we summarize the latest synergies and initiatives worldwide taken to promote IoT in the context of smart cities. Finally, we highlight several challenges in order to give future research directions. © 1979-2012 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Communications Magazine Vol. 55, no. 9 (2017), p. 16-24
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © IEEE
- Subject
- 4006 Communications engineering; 4606 Distributed computing and systems software
- Reviewed
- Funder
- We especially thank the late Prof. Dr. Carmelita Görg, former head of ComNets, University of Bremen, Germany, for all her support and guidance. Furthermore, we thank the International Graduate School for Dynamics in Logistics, the doc- toral training group of LogDynamics, University of Bremen, for financial support of this work. M. Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research Group No. (RG # 1435-051).
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