A Parthenogenetic Algorithm for Deploying the Roadside Units in Vehicle Networks

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


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.


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



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.


  1. 1.
    Hartenstein, H., Laberteaux, K.P.: A tutorial survey on vehicular ad hoc networks. IEEE Commun. Mag. 6(6), 164–171 (2008)CrossRefGoogle Scholar
  2. 2.
    Li, F., Wang, Y.: Routing in vehicular ad hoc networks: a survey. Veh. Technol. Mag. IEEE 2(2), 12–22 (2007)CrossRefGoogle Scholar
  3. 3.
    Sarubbi, J.F.M., Silva, C.M.: Delta-r: a novel and more economic strategy for allocating the roadside infrastructure in vehicular networks with guaranteed levels of performance. In: Network Operations and Management Symposium (2016)Google Scholar
  4. 4.
    Sarubbi J.F.M., Martins F.V.C., Silva, C.M.: A genetic algorithm for deploying roadside units in VANETS. In: Evolutionary Computation (2016)Google Scholar
  5. 5.
    Silva, C.M., Meira, W.: Evaluating the performance of heterogeneous vehicular networks. In: Vehicular Technology Conference (2016)Google Scholar
  6. 6.
    Yousefi, S., Mousavi, M.S., Fathy, M.: Vehicular ad hoc networks (VANETS): challenges and perspectives. In: International Conference on ITS Telecommunications Proceedings, pp. 761–766 (2007)Google Scholar

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

Personalised recommendations