Campus Network Management Scheme of Wireless Network User Data Mining
Abstract: To improve the
coverage rate of wireless sensor network node in the campus and prolong network
lifetime, an optimization method for network node coverage based on escape
particle swarmalgorithm has been proposed on the basis of analyzing defects of
basic particle swarm optimizationalgorithm. Firstly, with network coverage rate
as optimization objective, escape particle swarm algorithm is adopted for
solving and genetic algorithm crossover mechanism is introduced during the
solving process to maintain the diversity of particle swarm and prevent
“precocity”. In addition, momentum algorithm is adopted to smooth particle
searching path, accelerate convergence rate and finally performance of the algorithm
is tested through simulation experiment.
Keywords: Campus network;
Wireless sensor network; Coverage optimization; Particle swarm algorithm; Crossover
operation
Author: Tang Xiaokang, Jeong
Nyeo Kim
Journal Code: jptkomputergg160106
