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Tree-Based Neighbor Discovery in Urban Vehicular Sensor Networks

Authors
Roh, HeejunLee, Wonjun
Issue Date
2012
Publisher
SAGE PUBLICATIONS INC
Citation
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/134185
DOI
10.1155/2012/156590
ISSN
1550-1329
1550-1477
Abstract
In urban vehicular sensor networks, vehicles equipped with onboard sensors monitor some area, and the result can be shared to neighbor vehicles to correct their own sensing data. However, due to the frequent change of vehicle topology compared to the wireless sensor network, it is required for a vehicle to discover neighboring vehicles. Therefore, efficient neighbor discovery algorithm should be designed for vehicular sensor networks. In this paper, two efficient tree-based neighbor discovery algorithms in vehicular sensor networks are proposed and analyzed. After suggesting detailed scenario and its system model, we show that the expected value of neighbor discovery delay has different characteristics depending on neighbor discovery algorithms. An interesting observation of our result is that M-binary tree-based neighbor discovery shows better performance than M-ary tree-based neighbor discovery in the parking lot scenario, which is a counterintuitive result. We analyze why such result appears extensively.
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