An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and...

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Bibliographic Details
Published in:TheScientificWorld 2016, Vol.2016 (2016), p.1-11
Main Authors: Vimalarani, C., Sivanandam, S. N., Subramanian, R.
Format: Article
Language:English
Subjects:
Algorithms
Architectural engineering
Atoms & subatomic particles
Clustering
Communication
Competition
Computer science
Data processing
Data transmission
Energy conservation
Energy consumption
Energy use
Engineering
Environmental monitoring
Mathematical optimization
Optimization techniques
Power consumption
Sensors
Technology application
Water levels
Wireless networks
Wireless sensor networks
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Summary:Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self-supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2016/8658760