scholarly journals Energy Efficient Cluster Formation in Wireless Sensor Networks Using Particle Swarm Optimization

2017 ◽  
Vol 10 (30) ◽  
pp. 1-6
Author(s):  
Amita Yadav ◽  
Suresh Kumar ◽  
◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Cluster Formation ◽  
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.

scholarly journals A Particle Swarm Optimization Development for Routing and Cluster Formation in Wireless Sensor Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 1473-1477
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Cluster Formation ◽  
Particle Swarm ◽  
Base Station ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Cluster Group ◽  
System Life

An efficiency capable routing and cluster group are needed for improvement that are deliberate wide toward the extending the maximizing life of wireless detector networking. A new innovative research contributes the non-linear and linear Program design constructions of these problems tracked by anticipated algorithms for identical supported Heuristic Approaches of Particle Swarm Improvement Protocol (HAPSIP). The anticipated designs are tested widely and furthermore the outcomes are contrasted with the present designs with decide their prevalence as far as system life, vitality utilization, dead deduct indicator hubs and conveyance of all information particle to the base station. The testing platform compared and implemented in MATLAB

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