scholarly journals A Concentric Clustering Architecture with Particle Swarm Optimization Algorithm in a Wireless Sensor Network

2014 ◽  
pp. 325
2014 ◽  
Vol 1078 ◽  
pp. 426-429
Author(s):  
Shu Min Duan ◽  
Jian Jun Wu

Particle swarm optimization objective is spatial neighborhood directly in the search space according to the distance between particles. This paper analyses method of detection and node management in wireless sensor networks. Sensor nodes are randomly placed in the particle swarm optimization method, data acquisition, processing and transmission of the work. The paper presents using particle swarm optimization algorithm to construction detection and node management system in wireless sensor network. Simulation experiments show the validity of this method.


2017 ◽  
Vol 13 (03) ◽  
pp. 40 ◽  
Author(s):  
Honglei Jia ◽  
Jiaxin Zheng ◽  
Gang Wang ◽  
Yulong Chen ◽  
Dongyan Huang ◽  
...  

<span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">This paper carries out in-depth and meticulous analysis of the DV-Hop localization algorithm for wireless sensor network. It improves the DV-Hop algorithm into a node localization algorithm based on one-hop range, and proposes the centroid particle swarm optimization localization algorithm based on RSSI by adding the RSSI and particle swarm optimization algorithm to the traditional centroid localization algorithm. Simulation experiment proves that the two algorithms have excellent effect.</span>


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