Extending the Lifetime of Dynamic Underwater Acoustic Sensor Networks Using Multi-Population Harmony Search Algorithm

Chun-Cheng Lin, Der Jiunn Deng*, Shang Bin Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Like wireless sensor networks, lifetime of sensors is the main constraint for performance of underwater acoustic sensor networks (UASNs). Most previous works on UASNs did not consider dynamics of networks, i.e., as time goes by, in practice, part of sensors may be malfunctioned, deplete their battery power, or get lost due to violent underwater environment changes. Therefore, this paper considers a UASN in ocean and proposes a sleep scheduling scheme in which sensor nodes and autonomous underwater vehicles in this network can dynamically choose to sleep or work to adapt to the environmental change. The concerned problem is to dynamically determine a sufficient number of active nodes in the UASN at different times, such that the targets required to be detected are covered. A special static scenario of the problem has been shown to be NP-complete. Hence, this paper proposes an improved multi-population harmony search algorithm to solve this dynamic problem. By simulation, the proposed algorithm shows high performance in terms of extending network lifetime, robustness, and computing time.

Original languageEnglish
Article number7116479
Pages (from-to)4034-4042
Number of pages9
JournalIEEE Sensors Journal
Volume16
Issue number11
DOIs
StatePublished - 1 Jun 2016

Keywords

  • dynamic optimization
  • harmony search algorithm
  • multi-population
  • Underwater acoustic sensor network

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