Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm

  • Xuesong Yan
  • Qinghua Wu
  • Zhihua Cai
Part of the Communications in Computer and Information Science book series (CCIS, volume 15)


At present, mobile communications traffic routing designs are complicated because there are more systems inter-connecting to one another. For example, Mobile Communication in the wireless communication networks has two routing design conditions to consider, i.e. the circuit switching and the packet switching. The problem in the Packet Switching routing design is its use of high-speed transmission link and its dynamic routing nature. In this paper, Evolutionary Algorithms is used to determine the best solution and the shortest communication paths. We developed a Genetic Optimization Process that can help network planners solving the best solutions or the best paths of routing table in wireless communication networks are easily and quickly. From the experiment results can be noted that the evolutionary algorithm not only gets good solutions, but also a more predictable running time when compared to sequential genetic algorithm.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Xuesong Yan
    • 1
  • Qinghua Wu
    • 2
  • Zhihua Cai
    • 1
  1. 1.School of Computer ScienceChina University of GeosciencesWu-HanChina
  2. 2.Faculty of Computer Science and EngineeringWuHan Institute of TechnologyWuhanChina

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