An ant colony optimization approach for maximizing the lifetime of heterogeneous wireless sensor networks

Lin, Ying and Zhang, Jun and Chung, Henry Shu-Hung and Ip, Wai Hung and Li, Yun and Shi, Yu Hui (2012) An ant colony optimization approach for maximizing the lifetime of heterogeneous wireless sensor networks. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 42 (3). pp. 408-420. ISSN 1094-6977 (https://doi.org/10.1109/TSMCC.2011.2129570)

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Abstract

Maximizing the lifetime of wireless sensor networks (WSNs) is a challenging problem. Although some methods exist to address the problem in homogeneous WSNs, research on this problem in heterogeneous WSNs have progressed at a slow pace. Inspired by the promising performance of ant colony optimization (ACO) to solve combinatorial problems, this paper proposes an ACO-based approach that can maximize the lifetime of heterogeneous WSNs. The methodology is based on finding the maximum number of disjoint connected covers that satisfy both sensing coverage and network connectivity. A construction graph is designed with each vertex denoting the assignment of a device in a subset. Based on pheromone and heuristic information, the ants seek an optimal path on the construction graph to maximize the number of connected covers. The pheromone serves as a metaphor for the search experiences in building connected covers. The heuristic information is used to reflect the desirability of device assignments. A local search procedure is designed to further improve the search efficiency. The proposed approach has been applied to a variety of heterogeneous WSNs. The results show that the approach is effective and efficient in finding high-quality solutions for maximizing the lifetime of heterogeneous WSNs.

ORCID iDs

Lin, Ying, Zhang, Jun, Chung, Henry Shu-Hung, Ip, Wai Hung, Li, Yun ORCID logoORCID: https://orcid.org/0000-0002-6575-1839 and Shi, Yu Hui;
CORE (COnnecting REpositories)