JOURNAL ARTICLE

Uneven clustering routing algorithm for Wireless Sensor Networks based on ant colony optimization

Abstract

In order to make good use of the limited energy, ant colony optimization (ACO) was applied to inter-cluster routing mechanism. An uneven clustering routing algorithm for Wireless Sensor Networks (WSNs) based on ant colony optimization (ACO) was proposed. The algorithm utilized the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster head. Meanwhile, it organized different cluter in different size based on the distance between cluster heads and sink node, and clusters closer to sink had smaller sizes than those farther away from the sink, thus the closer cluster heads could preserve energy for the inter-cluster data forwarding. Simulation result indicates that the algorithm effectively balances the network energy consumption and prolongs the network life cycle compared with LEACH and PARA.

Keywords:
Ant colony optimization algorithms Computer science Wireless sensor network Adaptability Cluster analysis Sink (geography) Energy consumption Ant colony ANT Computer network Routing protocol Routing (electronic design automation) Distributed computing Algorithm Engineering Artificial intelligence Geography

Metrics

32
Cited By
4.40
FWCI (Field Weighted Citation Impact)
7
Refs
0.94
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
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Sensor Networks and IoT
Physical Sciences →  Engineering →  Control and Systems Engineering

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