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Wireless Personal Communications

, Volume 104, Issue 1, pp 73–89 | Cite as

A PSO Based Routing with Novel Fitness Function for Improving Lifetime of WSNs

  • Damodar Reddy Edla
  • Mahesh Chowdary Kongara
  • Ramalingaswamy Cheruku
Article
  • 46 Downloads

Abstract

Wireless sensor networks (WSNs) consist of spatially distributed low power sensor nodes and gateways along with base station to monitor physical or environmental conditions. In cluster-based WSNs, the cluster head is treated as the gateway. The gateways perform the multiple activities, such as data gathering, aggregation, and transmission etc. The collected data is transmitted from gateways to the base station using routing information. Routing is a key challenge in WSNs design as gateways are constrained by energy, processing power, and memory. Moreover, heavily loaded gateways die in early stages and cause changes in network topology. It is necessary to conserve gateways energy for prolonging the WSNs lifetime. To address this problem, particle swarm optimization (PSO)-based routing is proposed in this paper. Also, a novel fitness function is designed by considering the number of relay nodes, the distance between the gateway to base station and relay load factor of the network. The proposed algorithm is validated under two different scenarios. The experimental results show that the proposed PSO-based routing algorithm prolonged WSNs lifetime when compared to other bio-inspired approaches.

Keywords

Wireless sensor networks Clustering Particle swarm optimization Energy efficient routing Network lifetime 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Damodar Reddy Edla
    • 1
  • Mahesh Chowdary Kongara
    • 1
  • Ramalingaswamy Cheruku
    • 1
  1. 1.National Institute of Technology GoaPondaIndia

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