Energy efficient and position aware routing for Auv aided underwater acoustic sensor network

Abstract

Underwater pipeline provides an economic means of oil, gas and water transportation. The underwater pipeline incurs damage due to corrosion, water pressure and mudslides. The oil and gas from impaired pipeline leak in to aquatic environment, affects aquatic eco system and loss of resources. Hence, submarine pipeline require constant monitoring. The submarine pipelines monitor by underwater acoustic sensor network (UASN). The UASN implementation has limitations in terms of bandwidth, ocean current influence on buoys node, end-to-end delay and depth. Hence, mobile Autonomous under water vehicle (AUV) deploy to route data from fixed sensor node to mobile buoys node with minimal energy consumption. The end-to-end delay of UASN depends on routing protocol and node movement due to ocean current. In this paper, we propose CAT Swarm Optimization algorithm (COA) routing in AUV to seek and track mobile buoys node and minimize end-to-end delay, energy consumption between nodes in UASN. The COA performance analyze in NS2-Aquasim environment and the same implement in 1.5x1.5 meter test bed with water for performance analysis. The COA performed better in terms of end-to-end delay and energy consumption compared to conventional routing protocols.