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Cluster Computing

, Volume 22, Supplement 1, pp 609–621 | Cite as

Evolutionary energy balanced ant colony algorithm based on WSNs

  • Yegang ChenEmail author
  • Hongxiang Wang
Article
  • 219 Downloads

Abstract

A novel wireless sensor network routing algorithm based on ant colony principle and evolutionary energy balanced was proposed in this paper. The new algorithm added the factor of energy in the procedure that ants had been searching the optimum route. We used the energy of mechanical vibration act as the sensor nodes source, the finite state transition was proposed to describe the behavior of the nodes, and subsequently the cluster header selection algorithm was devised, therefore, we combined with the advantages of genetic algorithm, evolutionary energy balanced ant colony algorithm based on WSNs was proposed. And the simulation of the algorithm, the energy consumption, delay, energy efficiency, network lifetime, the energy consumption of cluster header nodes and the relation between the node and distance of the sink are compared with EABR and IACAR algorithm. The experiment shows the new algorithm reduced energy consumption of cluster header. The results indicated that the novel method had the better energy efficiency and the more balanced energy consumption. Meanwhile, it prolonged the lifetime of the network.

Keywords

Energy consumption Constraint ant colony algorithm Shadow balanced graph Cellular auto machine Finite state machine Degree constrained minimum spanning tree problem Wireless sensor network 

Notes

Acknowledgements

This study was funded by Chun hui Plan of the Ministry of education (Grant No. Z2017156).

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.School of Computer EngineeringYangtze Normal UniversityChongqingChina
  2. 2.Center of Three GorgeYangtze Normal UniversityChongqingChina

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