An Adaptive Virtual Area Partition Clustering Protocol using Particle Swarm Optimization for Wireless Sensor Networks

2013 ◽  
Vol 8 (5) ◽  
pp. 1092-1100
Author(s):  
Dexin Ma ◽  
Jian Ma ◽  
Wendong Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Clustering Protocol ◽  
Partition Clustering

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 An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Dexin Ma ◽  
Pengmin Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Cluster Head ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Swarm Optimization ◽  
Cluster Heads ◽  
Clustering Protocol ◽  
Energy Distance

Energy efficient utilization is an important criteria and factor that affects the design of wireless sensor networks (WSNs). In this literature, we propose an energy distance aware clustering protocol with Dual Cluster Heads using Niching Particle Swarm Optimization (DCH-NPSO). The protocol selects two cluster heads in each cluster, the Master Cluster Head (MCH) and the Slave Cluster Head (SCH), and the selection needs to consider the network state information carefully and deliberately. Simulation results show that the protocol we proposed can balance the energy dissipation and extend the network lifetime effectively.

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