Vehicular Sensing Networks in a Smart City: Principles, Technologies and Applications

Jingjing Wang, Chunxiao Jiang, Kai Zhang, Tony Q.S. Quek, Yong Ren, Lajos Hanzo

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)122-132
Number of pages11
JournalIEEE Wireless Communications
Volume25
Issue number1
DOIs
Publication statusPublished - 2018 Feb

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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