Lifetime Improvement of Dynamic Under Water Acoustic Sensor Network

R. Sowbarani, M. Sivakumar

Abstract: In underwater acoustic sensor network [UASN], sensors life time increment is the main problem, manually we cannot recharge the battery by going deep into the sea or ocean and we cannot recharge it by solar power since sun light wont go deep into the sea. In previous work on UASN they considers only static network, but in this paper we consider dynamic network (changes by time, either the sensor is active, malfunctioned, dead or lost) and in previous work they took 2D model and in this we consider a 3D model for sensing the target. To improve the life time of Underwater Acoustic Sensor Network (UASN) we developed a Heuristic Search Algorithm (Multi-population Harmony Search Algorithm) to dynamically choose to sleep or work a given set of sensors in order to cover the given set of targets.

Keywords: Underwater acoustic sensor network, harmony search algorithm, multi-population, dynamic optimization, pitch adjusting rate