Details

Autor(en) / Beteiligte

• Cen Cao
• Qingjian Ni
• Xushan Yin

Titel

Comparison of Particle Swarm Optimization algorithms in Wireless Sensor Network node localization

Ist Teil von

• 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, p.252-257

Ort / Verlag

IEEE

Erscheinungsjahr

2014

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• The node localization in Wireless Sensor Network (WSN) presently plays an important role in the field of applications. Particle Swarm Optimization (PSO) algorithm is a typical swarm intelligence method. Researchers propose many PSO variants and try to apply PSO algorithm to the related problems in WSN. This paper focuses on the WSN node localization using PSO algorithm. This paper conducts the experiment simulation, comparison and evaluation work in the node localization using PSO algorithm. The performance of different PSO variants with different population topologies is analyzed. Experiment simulations show that WSN node localization using PSO algorithm can get good performance in ring topology and square topology. In particular, the two newly proposed PSO variants (GDPSO and LDPSO) have good performance on this problem. This paper proposes some useful conclusions, which will provide a valuable reference to WSN engineering field.