Research Article
Information theory based performance analysis and enhancement of Safety applications and cluster design in VANET
@ARTICLE{10.4108/eai.1-1-2016.150808, author={Zhongyi Shen and Xin Zhang and Meng Zhang and Zhihao Chen and Weijia Li and Hongyu Sun}, title={Information theory based performance analysis and enhancement of Safety applications and cluster design in VANET}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={3}, number={6}, publisher={EAI}, journal_a={INIS}, year={2016}, month={1}, keywords={Mobility, information theory, cluster, vehicular ad hoc network (VANET), Dedicated Short-Range Communication (DSRC)}, doi={10.4108/eai.1-1-2016.150808} }- Zhongyi Shen
Xin Zhang
Meng Zhang
Zhihao Chen
Weijia Li
Hongyu Sun
Year: 2016
Information theory based performance analysis and enhancement of Safety applications and cluster design in VANET
INIS
EAI
DOI: 10.4108/eai.1-1-2016.150808
Abstract
Safety applications in vehicular ad hoc network (VANET) are handled by broadcast to disseminate safety related messages, due to lack of stable topology. The mobility of vehicles leads to significant performance degradation, especially in dense and dynamic scenarios. This paper presents an information theory based mobility model to determine the theoretical amount of information for VANET safety applications. The new mobility model considers the safety distance and vehicle’s status. Analysis results are helpful in reducing redundant information and gaining more insight for system design. Based on the model, an adaptive algorithm to derive the optimal data rate is proposed. In addition, an adaptive control channel interval (CCI) algorithm is applied in cluster forming to improve stability of cluster topology. Numerical simulations based on NS-3 show that algorithms proposed can improve the performance dramatically, and the effectiveness of the safety requirements is guaranteed.
Copyright © 2016 Zhongyi Shen et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.