JOURNAL ARTICLE

A clustering routing algorithm based on improved ant colony clustering for wireless sensor networks

Xiaoli XiaoLi Yang

Year: 2013 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8761 Pages: 876114-876114   Publisher: SPIE

Abstract

Because of real wireless sensor network node distribution uniformity, this paper presents a clustering strategy based on the ant colony clustering algorithm (ACC-C). To reduce the energy consumption of the head near the base station and the whole network, The algorithm uses ant colony clustering on non-uniform clustering. The improve route optimal degree is presented to evaluate the performance of the chosen route. Simulation results show that, compared with other algorithms, like the LEACH algorithm and the improve particle cluster kind of clustering algorithm (PSC - C), the proposed approach is able to keep away from the node with less residual energy, which can improve the life of networks.

Keywords:
Cluster analysis Computer science Wireless sensor network Ant colony optimization algorithms Node (physics) Energy consumption Base station CURE data clustering algorithm Algorithm Correlation clustering Ant colony Canopy clustering algorithm Routing (electronic design automation) Data mining Computer network Artificial intelligence Engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.08
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Wireless Sensor Networks and IoT
Physical Sciences →  Engineering →  Control and Systems Engineering
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
© 2026 ScienceGate Book Chapters — All rights reserved.