Fitness Function Based Particle Swarm Optimization Algorithm for Mobile Adhoc Networks

  • Authors

    • Rohan Gupta
    • Gurpreet Singh
    • Amanpreet Kaur
    • Aashdeep Singh
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.16791
  • Mobile Adhoc Network, Particle Swarm Optimization and Routing Protocol.

  • Abstract

    Mobile adhoc network is a network which carries out discussion between nodes in the absence of infrastructure. The fitness function based Particle Swarm Optimization Algorithm has been projected for improving the network performance. The effect of changing the number of nodes, communication range and transmission range is investigated on various qualities of service metrics namely packet delivery ratio, throughput and average delay. The investigation has been carried out using NS-2 simulator.

     

     

  • References

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  • How to Cite

    Gupta, R., Singh, G., Kaur, A., & Singh, A. (2018). Fitness Function Based Particle Swarm Optimization Algorithm for Mobile Adhoc Networks. International Journal of Engineering & Technology, 7(3.1), 31-33. https://doi.org/10.14419/ijet.v7i3.1.16791

    Received date: 2018-08-03

    Accepted date: 2018-08-03

    Published date: 2018-08-04