scholarly journals On the Localization Algorithm of Wireless Sensor Network and Its Application

2017 ◽  
Vol 13 (03) ◽  
pp. 40 ◽  
Author(s):  
Honglei Jia ◽  
Jiaxin Zheng ◽  
Gang Wang ◽  
Yulong Chen ◽  
Dongyan Huang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Node Localization ◽  
Swarm Optimization

<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>

Research on Particle Swarm Optimization-Based Node Positioning Algorithm for Wireless Sensor Networks

2014 ◽  
Vol 548-549 ◽  
pp. 1415-1419 ◽  
Author(s):  
Jie He ◽  
La Yuan Li
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Node Localization ◽  
Swarm Optimization

In many instances, as special applications of wireless sensor networks, wireless sensor networks need to know the location of nodes. A wireless sensor network localization algorithm based on Particle Swarm Optimization is proposed in this thesis to solve the problem of inaccurate positioning and large energy consumption for wireless sensor network node positioning. The algorithm combines the particle swarm optimization algorithm (PSO) and node localization algorithm to improve the positioning accuracy.

Using Particle Swarm Optimization Algorithm to Construction Detection and Node Management System in Wireless Sensor Network

2014 ◽  
Vol 1078 ◽  
pp. 426-429
Author(s):  
Shu Min Duan ◽  
Jian Jun Wu
Keyword(s):  
Particle Swarm Optimization ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Optimization Algorithm ◽  
Management System ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Swarm Optimization

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.

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