JOURNAL ARTICLE

A cluster-head selection algorithm for Wireless Sensor Networks

Abstract

The use of Wireless Sensor Networks (WSN) is anticipated to bring lot of changes in data gathering, processing and dissemination for different environments and applications. Energy consumption is the most crucial design issue in WSN. In order to solve the issue and prolong the network lifetime, energy resources of each node in WSN need to be effectively managed. With respect to energy efficiency, the best known protocols are hierarchical in nature. Energy consumption can be reduced efficiently by using clustering based hierarchical routing protocols. In this paper, an energy-efficient clustering approach called Improved Minimum Separation Distance(IMSD) is proposed. IMSD extends the existing MSD [1] clustering algorithm. The simulation results show that IMSD is more energy-efficient, implying that it is more effective in prolonging the network life time.

Keywords:
Computer science Wireless sensor network Cluster analysis Energy consumption Efficient energy use Computer network Distributed computing Node (physics) Routing (electronic design automation) Selection (genetic algorithm) Routing protocol Energy (signal processing) Selection algorithm Engineering Machine learning

Metrics

20
Cited By
0.74
FWCI (Field Weighted Citation Impact)
12
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Water Quality Monitoring Technologies
Physical Sciences →  Environmental Science →  Water Science and Technology

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