scholarly journals Application of Data Fusion Technology Based on Weight Improved Particle Swarm Optimization Neural Network Algorithm in Wireless Sensor Networks

2016 ◽  
Vol 9 (3) ◽  
pp. 243-254 ◽  
Author(s):  
Xiajun Ding ◽  
Hongbo Bi ◽  
Xiaodan Jiang ◽  
Lu zhang
Keyword(s):  
Neural Network ◽  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Data Fusion ◽  
Wireless Sensor ◽  
Fusion Technology ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Neural Network Algorithm

An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks

2014 ◽  
Vol 18 (2) ◽  
pp. 107-112 ◽  
Author(s):  
Shuxin Ding ◽  
◽  
Chen Chen ◽  
Jie Chen ◽  
Bin Xin
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Rapid Deployment ◽  
Short Time

This paper addresses the issues associated with deployment of sensors, which are critical in wireless sensor networks. This paper provides an improved particle swarm optimization (PSO) algorithm by changing the basic form of PSO and introducing disturbance (d-PSO). By comparing with other PSO-based algorithms, simulation results show that the d-PSO algorithm provides a good-coverage solution with a satisfying coverage rate in a short time. This feature is especially useful for the rapid deployment of sensors.

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