JOURNAL ARTICLE

An Efficient Cluster Head Selection and Aggregation for Wireless Sensor Networks

Abstract

The objective of this paper is to increase the lifetime of the Wireless Sensor Network (WSN) through balancing the energy of the sensors and reducing the number of transmissions. Sensor nodes are limited in power. It is difficult to recharge the battery of sensor. Utilization of energy efficiently is the main issue of WSN. Clustering and Aggregation are the energy efficient methods of WSN. Hence we propose an Efficient Cluster Head Selection and Aggregation (ECSHA) algorithm to minimize energy consumption. Cluster head selection is based on the number of neighbors, residual energy and distance of a node from the centre of the cluster. And also we propose a filter based approach for reducing the number of transmissions. Simulation results show that the proposed algorithm achieves higher energy efficiency and increases network lifetime.

Keywords:
Wireless sensor network Computer science Cluster analysis Efficient energy use Energy consumption Data aggregator Computer network Node (physics) Selection (genetic algorithm) Energy (signal processing) Cluster (spacecraft) Sensor node Key distribution in wireless sensor networks Real-time computing Wireless Wireless network Engineering Telecommunications Artificial intelligence Electrical engineering

Metrics

3
Cited By
0.37
FWCI (Field Weighted Citation Impact)
8
Refs
0.69
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
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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