Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks

Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks

Transportation is a huge problem that curbs development of societies and economy in many countries nowadays. Participatory sensing technologies encourage people to be involved in environment monitoring through smart devices. Vehicle sensor networks (VSNs) are a novel solution for road event detectio...

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Main Author: Yuanyuan Zeng
Format: Article
Language:English
Published: SAGE Publishing 2014-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/275609
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spelling doaj-f13d4f5da34f4e76a3d0bb733028bd482020-11-25T04:02:52ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/275609275609Adaptive Collaborative Detection for Opportunistic Vehicle Sensor NetworksYuanyuan Zeng0 Su Zhou Institute of Wuhan University, Suzhou 215123, ChinaTransportation is a huge problem that curbs development of societies and economy in many countries nowadays. Participatory sensing technologies encourage people to be involved in environment monitoring through smart devices. Vehicle sensor networks (VSNs) are a novel solution for road event detection with advantages. In this paper, we consider runtime road event detection using VSNs to satisfy the application-specific requirements through collaboration among vehicles. A group road detection scheme (GRD) by using dynamic clustering in VSNs is presented to improve detection performance with low time complexity and message complexity. The simulations with testbed of 5 remote controllable vehicles show that GRD scheme provides effectiveness under different road scenarios.https://doi.org/10.1155/2014/275609
collection DOAJ
language English
format Article
sources DOAJ
author Yuanyuan Zeng
spellingShingle Yuanyuan Zeng
Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Yuanyuan Zeng
author_sort Yuanyuan Zeng
title Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
title_short Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
title_full Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
title_fullStr Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
title_full_unstemmed Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks
title_sort adaptive collaborative detection for opportunistic vehicle sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2014-05-01
description Transportation is a huge problem that curbs development of societies and economy in many countries nowadays. Participatory sensing technologies encourage people to be involved in environment monitoring through smart devices. Vehicle sensor networks (VSNs) are a novel solution for road event detection with advantages. In this paper, we consider runtime road event detection using VSNs to satisfy the application-specific requirements through collaboration among vehicles. A group road detection scheme (GRD) by using dynamic clustering in VSNs is presented to improve detection performance with low time complexity and message complexity. The simulations with testbed of 5 remote controllable vehicles show that GRD scheme provides effectiveness under different road scenarios.
url https://doi.org/10.1155/2014/275609
work_keys_str_mv AT yuanyuanzeng adaptivecollaborativedetectionforopportunisticvehiclesensornetworks
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