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Vehicular sensing networks in a Smart City: Principles, technologies and applications

Vehicular sensing networks in a Smart City: Principles, technologies and applications
Vehicular sensing networks in a Smart City: Principles, technologies and applications
Given the escalating population across the globe, it has become paramount to construct smart cities, aiming for improving the management of urban flows relying on efficient information and communication technologies (ICT). Vehicular sensing networks (VSNs) play a critical role in maintaining the efficient operation of smart cities. Naturally, there are numerous challenges to be solved before the wide-spread introduction of VSNs, including the conception of an accurate topological analysis method and a beneficial cooperation mechanism during the process of city-wide information sharing. Hence, in this article, we construct a VSN-aided smart city model and appraise a range of intelligent applications in terms of both public services and urban flow management. Then, the information source selection algorithm of a complex network and a reinforcement learning based city information sharing mechanism are considered, complemented by a range of open challenges.
1536-1284
122-132
Wang, Jingjing
0b5c7039-27af-4644-b958-a69c057cbeb7
Jiang, Chunxiao
42495f6c-80fb-4f8d-809b-a1b8d7c0695f
Zhang, Kai
9b141382-cd31-4410-9a0a-66c6e47b21a0
Quek, Tony Q.S.
3d7894c8-be8d-4c6c-9b61-9330586659ec
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Jingjing
0b5c7039-27af-4644-b958-a69c057cbeb7
Jiang, Chunxiao
42495f6c-80fb-4f8d-809b-a1b8d7c0695f
Zhang, Kai
9b141382-cd31-4410-9a0a-66c6e47b21a0
Quek, Tony Q.S.
3d7894c8-be8d-4c6c-9b61-9330586659ec
Ren, Yong
ad146a10-75d8-401c-911b-fd4dcc44eb12
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Jingjing, Jiang, Chunxiao, Zhang, Kai, Quek, Tony Q.S., Ren, Yong and Hanzo, Lajos (2018) Vehicular sensing networks in a Smart City: Principles, technologies and applications. IEEE Wireless Communications, 25 (1), 122-132. (doi:10.1109/MWC.2017.1600275).

Record type: Article

Abstract

Given the escalating population across the globe, it has become paramount to construct smart cities, aiming for improving the management of urban flows relying on efficient information and communication technologies (ICT). Vehicular sensing networks (VSNs) play a critical role in maintaining the efficient operation of smart cities. Naturally, there are numerous challenges to be solved before the wide-spread introduction of VSNs, including the conception of an accurate topological analysis method and a beneficial cooperation mechanism during the process of city-wide information sharing. Hence, in this article, we construct a VSN-aided smart city model and appraise a range of intelligent applications in terms of both public services and urban flow management. Then, the information source selection algorithm of a complex network and a reinforcement learning based city information sharing mechanism are considered, complemented by a range of open challenges.

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smart-city - Accepted Manuscript
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Accepted/In Press date: 28 November 2016
e-pub ahead of print date: 3 October 2017
Published date: February 2018

Identifiers

Local EPrints ID: 414169
URI: http://eprints.soton.ac.uk/id/eprint/414169
ISSN: 1536-1284
PURE UUID: 26643cf0-02c9-41ca-ab17-5a6d99ebd50a
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 15 Sep 2017 16:30
Last modified: 07 Oct 2020 06:17

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