SUN Zi-wen1, WANG Xin-yu1, BAI Yong2, et al. Chaos particle swarm optimization localization algorithm based on reliance degree and premature detection[J]. 2013, 32(9): 129-133.
SUN Zi-wen1, WANG Xin-yu1, BAI Yong2, et al. Chaos particle swarm optimization localization algorithm based on reliance degree and premature detection[J]. 2013, 32(9): 129-133. DOI: 10.13873/j.1000-97872013.09.021.
A chaos particle swarm optimization(CPSO) node positioning algorithm for wireless sensor networks(WSNs) is proposed
in order to reduce ranging error of ranging method of received signal strength indicator(RSSI).Positioning sequence is selected according to reliance degree of unlocalized node
and the unlocalized node position is estimated by using particle swarm optimization(PSO) algorithm
according to ranging distance
the PSO premature convergence is avoided by adopting chaos disturbance mechanism and start-up of disturbance mechanism is lie on premature detection result.Experimental result shows that the algorithm can not only improve localization precision
at the same time
effectively solve problem of the particle swarm optimization premature convergence.