Research Article
Information Theory based Performance Analysis and Enhnacement of Safety Applications in DSRC
@INPROCEEDINGS{10.4108/eai.19-8-2015.2260652, author={Zhongyi Shen and Xin Zhang and Zhihao Chen and Meng Zhang and Yunlong Gu and Jinxi Fu}, title={Information Theory based Performance Analysis and Enhnacement of Safety Applications in DSRC}, proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={IEEE}, proceedings_a={QSHINE}, year={2015}, month={9}, keywords={dedicated short-range communication (dsrc) safety message broadcast information theory mobility entropy}, doi={10.4108/eai.19-8-2015.2260652} }- Zhongyi Shen
Xin Zhang
Zhihao Chen
Meng Zhang
Yunlong Gu
Jinxi Fu
Year: 2015
Information Theory based Performance Analysis and Enhnacement of Safety Applications in DSRC
QSHINE
IEEE
DOI: 10.4108/eai.19-8-2015.2260652
Abstract
Dedicated short-range communication (DSRC) is an enabling technology for Intelligent Transportation Systems (ITS). Due to lack of stable topology, the periodic and event-driven safety applications take broadcast as an effective approach to disseminate messages, which leads to significant performance degradation in high density and highly dynamic scenarios. This paper presents an information theory based model to determine the theoretical amount of information required by DSRC safety applications, and the results are helpful in reducing redundant information in performance enhancement as well as gaining more insight for system design. Based on the model presented, an adaptive algorithm is proposed to derive the optimal safety message rate in different scenarios to reduce the channel load. Numerical simulations based on NS-3 show that the proposed algorithm can improve the performance dramatically, and the effectiveness of the safety applications is guaranteed.