A Virtual Force Algorithm-Lévy-Embedded Grey Wolf Optimization Algorithm for Wireless Sensor Network Coverage Optimization

Sensors (Basel). 2019 Jun 18;19(12):2735. doi: 10.3390/s19122735.


The random placement of a large-scale sensor network in an outdoor environment often causes low coverage. In order to effectively improve the coverage of a wireless sensor network in the monitoring area, a coverage optimization algorithm for wireless sensor networks with a Virtual Force-Lévy-embedded Grey Wolf Optimization (VFLGWO) algorithm is proposed. The simulation results show that the VFLGWO algorithm has a better optimization effect on the coverage rate, uniformity, and average moving distance of sensor nodes than a wireless sensor network coverage optimization algorithm using Lévy-embedded Grey Wolf Optimizer, Cuckoo Search algorithm, and Chaotic Particle Swarm Optimization. The VFLGWO algorithm has good adaptability with respect to changes of the number of sensor nodes and the size of the monitoring area.

Keywords: Lévy-embedded Grey Wolf Optimization algorithm; Virtual Force algorithm; coverage optimization; wireless sensor network.

MeSH terms

  • Algorithms
  • Biosensing Techniques*
  • Computer Communication Networks
  • Environmental Monitoring*
  • Humans
  • Wireless Technology*