Stochastic message relaying delay estimation for sparse traffic flow in VANETs
Authors: 
Chu-Fu Wang, Min-Che SunAuthors Info & Claims
Chu-Fu Wang, Min-Che SunAuthors Info & ClaimsPages 10 - 14
Abstract
Due to the high practicability and the emergent need to enhance the driving safety on roads, the technologies being developed for Vehicular Ad-hoc Networks (VANETs) have received much attention from researchers and motor companies. A precise estimation of message relaying delay is the key factor for VANET routing decision making. The message relaying delay will be significantly affected by the fluctuation of traffic, diverse drivers' behaviors, traffic signs, two-way traffic, etc., thus increasing the difficulties of estimation. The message propagation for sparse traffic roads will be accomplished not only by message relaying among vehicles, but also by being carried by vehicles traveling at roaming speed. In such a circumstance, the message delay will be enlarged and the estimation tasks will be complicated. In this paper, we propose two stochastic message relaying estimation methods for both unidirectional and bidirectional sparse traffic in a VANET environment, respectively. Theoretical properties for the proposed methods are also given. The research results will be groundwork for routing decisions in VANETs.
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Index Terms
- Stochastic message relaying delay estimation for sparse traffic flow in VANETs
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Published: 22 October 2017
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ICTCE 2017
ICTCE 2017: 2017 International Conference on Telecommunications and Communication Engineering
October 22 - 24, 2017
Osaka, Japan
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