Energy Efficient And Position Aware Routing For Under Water Acoustic Sensor Network

Abstract

ABSTRACT newlineThe Underwater Acoustic Sensor Network (UASN) is deployed for collecting data from under water ocean sensors. Sensor collects data from ocean environment such as pollution, aquatic wildlife, and natural resource exploration such as gas pipes, oil pipes and ocean turbine. The UASN nodes deployed for monitoring applications undergoes network problems such as link disconnectivity due to node mobility, reduced network lifetime, path loss, Bit error Rate, and End- to-end delay between underwater sensor node and sink node. Hence, different routing and optimization protocols required to improve network performance. All traditional UASN routing algorithms like Channel aware Routing Protocol (CRP), Depth based Routing protocol (DRP) and vector based directional flooding (VDF) etc suffers from higher end-to-end delay between nodes, load imbalance problem and result in data loss, reduced network lifetime. newline newline newlineIn this thesis, Whale Optimization Algorithm (WOA), Cat swarm Optimization Algorithm (COA) and Buffalo optimization algorithm (BOA) to select optimized node for data forwarding in UASN application is proposed. The WOA is a bio-inspired algorithm based on the hunt behaviour of humpback whale. The humpback whales find optimized node from a large set of acoustic sensor nodes in network. The WOA has optimal convergence and avoids local optima problems. newline newline newlineThe COA bio inspired algorithm is based on hunting behaviour of CAT. The COA determines the optimal node to successfully transmit the data to intended destination node instead of other node in network. newline newline newline newlineThe above algorithms propose to implement in underwater acoustic sensor network under different network conditions to evaluate algorithm efficiency and performance. newline newline newlineBOA, bio-inspired algorithm is based with the behaviour of African buffalo. The BOA method can be used to select optimal node for data forwarding with respect to dynamic ocean conditions and node resources. Furthermore, the BOA has t