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An Improved GAPSO Algorithm for Wireless Sensor Network Routing

  

  1. College of Information Engineering, Yulin University, Yulin 719000, China
  • Received:2015-08-05 Online:2015-12-23 Published:2015-12-30

Abstract:

In order to solve the wireless sensor network energy uneven, effectively extending the life cycle and other issues, an improved genetic(GA)particle algorithm(PSO) to
optimize wireless sensor network routing algorithm is provided. Firstly, the energy model for wireless sensor networks is analyzed, then the objective function was constructed
for cluster head selection based on improved GAPSO algorithm. Simulation experiments show that the algorithm can prolong the survival time of the network to ensure network
with more balanced energy consumption, to verify the feasibility and effectiveness of the proposed algorithm.

Key words: wireless sensor networks, genetic algorithm, particle algorithm, life cycle, energy balance

CLC Number: