scholarly journals Distributed Particle Swarm Optimization and Simulated Annealing for Energy-efficient Coverage in Wireless Sensor Networks

Sensors ◽  
2007 ◽  
Vol 7 (5) ◽  
pp. 628-648 ◽  
Author(s):  
Xue Wang ◽  
Jun-Jie Ma ◽  
Sheng Wang ◽  
Dao-Wei Bi
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Simulated Annealing ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Swarm Optimization

An Energy Efficient Clustering Protocol Based on Niching Particle Swarm Optimization for Wireless Sensor Networks

2013 ◽  
Vol 475-476 ◽  
pp. 500-503
Author(s):  
De Xin Ma ◽  
Jian Ma ◽  
Peng Min Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Clustering Protocol ◽  
Energy Efficient Clustering

According to the energy constraints characteristics of Wireless Sensor Networks, how to optimize clustering, reduce the node energy consumption and balance the network energy dissipation is an main target, we proposes an Energy Efficient Clustering protocol based on Niching Particle Swarm Optimization (NPSO-EEC), the algorithm considers the factors such as the nodes residual energy and neighbor nodes status, etc. The simulation results show that the proposed protocol can balance the nodes energy consumption effectively, reduce the sensor nodes death rate, and prolong the network lifetime.

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