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A Parthenogenetic Algorithm for Deploying the Roadside Units in Vehicle Networks

  • Jingli Wu
  • Yong Wu
  • Jinyan Wang
  • Yutong Ye
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11062)

Abstract

It is crucial to appropriately deploy Roadside Units (RSUs) to guarantee the QoS of Vehicle-to-Infrastructure communication. Sarubbi et al. proposed the Delta-r algorithm by using relative contact time to meet the \(\triangle _{\rho _{2}}^{\rho _{1}}\)-Deployment, which is a metric for evaluating the performance of VANET. However, the “false high” relative contact time might play a negative effect on decision-making. In this paper, an improved algorithm Delta-uc, which is based on Useful Contribution, is presented. It avoids the negative effect of “extra” contact time by retaining only the useful relative trip duration of a vehicle at an urban cell. In addition, based on the Delta-uc algorithm, an effective recombination operator is designed, and a parthenogenetic algorithm UCPGA is proposed to solve the deployment problem. Compared with algorithms Delta-r and Delta-GA, in many \(\triangle _{\rho _{2}}^{\rho _{1}}\)-Deployments, the Delta-uc and UCPGA algorithms respectively required fewer RSUs, which were proved by the experiments on the realistic mobility trace of Cologne, Germany.

Keywords

Vehicle-to-Infrastructure (V2I) Deployment Roadside Units (RSUs) Useful Contribution Parthenogenetic algorithm 

Notes

Acknowledgments

This research is supported by the National Natural Science Foundation of China under Grant No. 61762015, No. 61502111, No. 61763003, No. 61662007, Guangxi Natural Science Foundation under Grant No. 2015GXNSFAA139288, No. 2016GXNSFAA380192, “Bagui Scholar” Project Special Funds, Guangxi Science Base and Talent Special Support No. AD16380008, Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Guangxi Key Lab of Multi-source Information Mining and SecurityGuangxi Normal UniversityGuilinChina
  2. 2.College of Computer Science and Information TechnologyGuangxi Normal UniversityGuilinChina

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