TY - JOUR
T1 - Vehicular Sensing Networks in a Smart City
T2 - Principles, Technologies and Applications
AU - Wang, Jingjing
AU - Jiang, Chunxiao
AU - Zhang, Kai
AU - Quek, Tony Q.S.
AU - Ren, Yong
AU - Hanzo, Lajos
N1 - Funding Information:
Acknowledgment This work was supported by the NSFC China under projects 61371079 and 92338203.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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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U2 - 10.1109/MWC.2017.1600275
DO - 10.1109/MWC.2017.1600275
M3 - Article
AN - SCOPUS:85030786279
VL - 25
SP - 122
EP - 132
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
SN - 1536-1284
IS - 1
ER -