Random deployment of sensor nodes using enhanced VFPSO algorithm
Song Ming-zh · Computer Engineering and Applications Journal · 2016
The Wireless Sensor Network(WSN)coverage optimization via the dynamic deployment of sensor nodes is crucial to enhancing the WSN monitoring quality as well as prolonging the network lifetime. Among the coverage optimization techniques, Virtual Force Particle Swarm Optimization(VFPSO)offers improved performance over the standard Particle Swarm Optimization(PSO)algorithm through the introduction of the Virtual Force(VF)concept. But the VFPSO algorithm still exhibits the problem of premature convergence. In this paper, a mechanism called dimension selection is incorporated into VFPSO to further improve its performance. Simulation results show that the newly proposed algorithm improves the WSN coverage rate by an amount of 3%~5%, compared with the other benchmark methods.