Computer Science

Computer Science ›› 2019, Vol. 46 ›› Issue (9): 125-129.doi: 10.11896/j.issn.1002-137X.2019.09.017

• Network & Communication • Previous Articles     Next Articles

RSSI-based Centroid Localization Algorithm Optimized by Hybrid Swarm Intelligence Algorithm

WANG Gai-yun, WANG Lei-yang, LU Hao-xiang   

  1. (School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China)
  • Received:2018-08-22 Online:2019-09-15 Published:2019-09-02

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Abstract: Sensor nodes self-positioning is one of the most critical technologies in wireless sensor network.Aiming at the localization problem of wireless sensor network,this paper proposed the centroid localization algorithm with particle swarm optimization and simulated annealing algorithm (PSO-SA) based on RSSI.Firstly,the distance between nodes in the wireless sensor network is calculated by using the RSSI ranging model in the method.Secondly,a mathematical model with unknown node coordinates as parameters is established by selecting three reference nodes closest to the unknown node and the nodes that have been located,and PSO-SA is used in the process of solution.To evaluate the performance of the proposed method,a comparison experiment was carried out with the traditional centroid localization algorithm,the RSSI-based weighted centroid localization algorithm and the centroid localization algorithm based on PSO.Experiment results indicate that the RSSI centroid localization algorithm based on PSO-SA has higher localization accuracy and stronger generalization performance than the others.

Key words: Centroid localization, Particle Swarm Optimization, Received Signal Strength Indication, Simulated Annealing, Wireless sensor network

CLC Number: 

  • TP393
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