Abstract:

The third stage in classical DVHop location algorithm has big localization error, so this paper puts forward a localization method for wireless sensor network based

on modified particle swarm optimization algorithm. Firstly, the defects of DVHop algorithm is analyzed, and the unknown nodes positioning problem is converted into the

optimization problem, and then the modified particle swarm optimization algorithm is used to optimize the problem, and the shrinkage factor is introduced to accelerate the

search speed and precision, and find out the global optimal position of unknown nodes, finally the simulation experiment is carried out on Matlab 2012 platform. The simulation

results show that the proposed algorithm improves the positioning accuracy of sensor nodes, and greatly reduces the positioning error.

Key words: wireless sensor network, node localization, modified particle swarm optimization algorithm, DVHop algorithm

CLC Number: 

• TP393