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

Ying Lin, Jun Zhang, Henry Shu-Hung Chung, Wai Hung Ip, Yun Li, Yu Hui Shi

Research output: Contribution to journalArticlepeer-review

115 Citations (Scopus)
45 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)408-420
Number of pages13
JournalIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Issue number3
Early online date25 Apr 2011
Publication statusPublished - 31 May 2012


  • ant colony optimization (ACO)
  • connectivity
  • coverage
  • network lifetime
  • wireless sensor networks (WSNs)

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