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Coverage Mechanism of WSN Based on Weighted Imperialist Competitive Algorithm

  

  1. College of Math and Computer Engineering, Xi’an University, Xi’an 710065, China
  • Received:2014-02-17 Online:2014-06-13 Published:2014-06-25

Abstract:

In order to overcome these defects such as slow convergence speed, and falling into local optimum in optimized coverage mechanism of WSN, and to make it have
high coverage rate and low energy consuming to extend the life cycle, the coverage mechanism of WSN based on weighted discrete imperialist competitive algorithm is proposed by
introducing the weigh theory and using the node utilization and coverage rate to design the fitness function. This mechanism and others are tested. The results show that:
comparing with other optimization coverage methods, the convergence speed of this mechanism is faster; and the coverage is higher, as well as the number of working sensor node
is less.

Key words: WSN, coverage rate, sensor nodes, weigh, imperialist competitive algorithm, convergence speed