Performance Evaluation of AFISHS Optimization Algorithm with Aco for UASN

An effective communication in wireless sensor network depends mainly on the limited power of the nodes deployed in the network. When there is no effective protocol to save power, then the routing among the nodes is difficult. Underwater Acoustic Sensor networks are mainly used for monitoring instruments, controlling of pollution, recording of changes in climate, natural disaster prediction, search missions and marine life study. The underwater network data transmission among the nodes or in a rout, needs a continuous communication. Else it makes data loss and it cannot be recoverable by any other node or by the base station. In such a situation it is necessary to ensure that the energy efficient network is adopted. In order to provide energy efficiency in routing with successful data transmission, this paper introduces an optimized energy efficient routing protocol [OEERP] via nodes having highest energy in a shortest path where the node highest energy and path least distance is optimized using AFISHS optimization algorithm. FISH is a Bio-inspired optimization algorithm, where it is too dynamic, repetitive and reliable. It provides the optimized highest energy nodes sited in a least distance based shortest path in the network. The simulation result shows the performance evaluation of the proposed AFISHS optimization algorithm than the existing ACO algorithm in various factors like Energy, PDR, and throughput and data loss. In terms of energy, throughput, PDR are increased as 5.5% Joules, 12% kb/sec and 0.6% of packets respectively than the Existing approaches