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Wireless Networks

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01-02-2016

Opportunistic fleets for road event detection in vehicular sensor networks

Authors: Yuanyuan Zeng, Deshi Li, Athanasios V. Vasilakos

Published in: Wireless Networks | Issue 2/2016

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Abstract

High mobility and variable road surface condition brings big challenges for road event detection by using vehicular sensor networks (VSNs). VSNs are data-centric networks, so that the efficient collaborations among opportunistic topology structure in the network can help to improve the performance. In this paper, we present the behavior-aware fleet construction schemes to form and maintain the opportunistic fleet topology, and then to make fleet based data collaboration. The fleet formation scheme is to group vehicles according to behavior similarities and stability. The fleet maintenance scheme includes the periodic update and deputy selection to adapt the fleet topology. The collaboration within the fleet is executed in the way of “follower-to-leader” with data aggregation among behavior-aware vehicles. Our analysis show the schemes are with low overhead and in an on-line and decentralized way, which is well suited for VSNs. We made simulations to testify the scheme performance for road event detection applications. The results show that our schemes achieve better accuracy for road event detection when compared with the other related work .

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Title: Opportunistic fleets for road event detection in vehicular sensor networks
Authors: Yuanyuan Zeng
Deshi Li
Athanasios V. Vasilakos
Publication date: 01-02-2016
Publisher: Springer US
Published in: Wireless Networks / Issue 2/2016
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-015-0976-2

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