Low-energy routing based on ant colony algorithm genetic algorithm in wireless sensor networks

Shi Zhang; Qiannan Lu; Zhe Zhang; Jian Chen

doi:10.1117/12.717524

6 November 2006 Low-energy routing based on ant colony algorithm genetic algorithm in wireless sensor networks

Shi Zhang, Qiannan Lu, Zhe Zhang, Jian Chen

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 635756 (2006) https://doi.org/10.1117/12.717524
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

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.

Citation Download Citation

Shi Zhang, Qiannan Lu, Zhe Zhang, and Jian Chen "Low-energy routing based on ant colony algorithm genetic algorithm in wireless sensor networks", 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); https://doi.org/10.1117/12.717524

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