SURVEY ON UNDERWATER ACOUSTIC SENSOR NETWORKS TO MAXIMIZE TARGET COVERAGE BY USING EFFICIENT CAMERA SELECTION.

Abstract

Cameras have been recently fixed to monitor the targets in the underwater using acoustic sensor networks. Since capturing and processing the targets by cameras needs large amount of battery power also needs to sort out the obstacles in underwater. Due to the lack of battery power cameras are kept in a sleep mode and activated only when the ultrasonic wave detection of the target. The proposed system enhances the relocation of a camera structure in underwater to extend the coverage area of the targets to be monitored with small number of activated cameras in the network. By getting the most of the activated camera orientation and frustum in 3D covered by the sensors which shows the coverage of each acoustic sensor in advance. Whenever the target is detected this information is then used and sent to the other sensors that detected the same target. When compared to floody based approach the proposed solution show that quickly detection of targets with least number of camera movement