PROJECT TITLE :
Extending the Lifetime of Dynamic Underwater Acoustic Sensor Networks Using Multi-Population Harmony Search Algorithm
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, half of sensors may be malfunctioned, deplete their battery power, or stray because of violent underwater surroundings changes. Thus, this paper considers a UASN in ocean and proposes a sleep scheduling theme in that sensor nodes and autonomous underwater vehicles during this network will dynamically opt for to sleep or work to adapt to the environmental amendment. The concerned drawback is to dynamically verify a sufficient number of active nodes in the UASN at different times, such that the targets needed to be detected are coated. A special static scenario of the matter has been shown to be NP-complete. Hence, this paper proposes an improved multi-population harmony search algorithm to solve this dynamic downside. By simulation, the proposed algorithm shows high performance in terms of extending network lifetime, robustness, and computing time.
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