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Proceedings Paper

Low-energy routing based on ant colony algorithm genetic algorithm in wireless sensor networks
Author(s): Shi Zhang; Qiannan Lu; Zhe Zhang; Jian Chen
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Paper Abstract

While designing the routing protocol in wireless sensor networks (WSN), one of the key problems is to keep the energy-load balance over the network for prolonging its lifetime. In this paper, we propose a low-energy clustering WSN routing protocol based on Ant Colony Algorithm Genetic Algorithm (ACAGA). The protocol divides the network into several clusters and selects cluster heads according to the relative locations and the residual energy status of nodes. While keeping the energy-load balance over the whole network, it accomplishes a low-energy routing and prolongs the whole network's lifetime by using the distributed computation and global route optimization capabilities of ACAGA.

Paper Details

Date Published: 6 November 2006
PDF: 8 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635756 (6 November 2006); doi: 10.1117/12.717524
Show Author Affiliations
Shi Zhang, Northeastern Univ. (China)
Qiannan Lu, Northeastern Univ. (China)
Zhe Zhang, Northeastern Univ. (China)
Jian Chen, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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