JOURNAL ARTICLE

An Ant Colony Clustering Routing Algorithm for Wireless Sensor Networks

Abstract

On the basis of analyzing the Low-Energy Adaptive Clustering Hierarchy (LEACH), a clustering routing algorithm for Wireless Sensor Network (WSN) based on ant colony algorithm (ACA) is proposed in this paper. We applied the ACA to inter-cluster routing mechanism and looked for the best path from cluster heads to base station. Thanks to the algorithm, the transmission of information, for the cluster heads node away from the base station (Sink), along the best path was achieved and the energy consuming of cluster heads node was decreased. Meanwhile, not only the node residual energy, but also the distance between the cluster heads was considered for the selection of cluster heads. It resulted in the more even distribution of cluster heads. Simulation result indicates that the new algorithm has a more than 30% increase in extension of network life compared with LEACH.

Keywords:
Cluster analysis Computer science Base station Wireless sensor network Computer network Node (physics) Ant colony optimization algorithms Routing protocol Routing (electronic design automation) Path (computing) Sink (geography) Algorithm Engineering Artificial intelligence Geography

Metrics

44
Cited By
2.75
FWCI (Field Weighted Citation Impact)
6
Refs
0.92
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
Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Security in Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications

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