Presenting A Distributed Algorithm For The Energy Consumption Reduction in Underwater Sensor Networks, Using The Learning Automata in Heterogenic State

Abstract

A sensor network is a set of sensor nodes, which attach to each other via links that may cause energy loss in sensor network. Clustering the nodes is an applicable and effective way that prevents the energy loss. Cluster head relates the clusters and base station. It also collects the gathered data from sensor nodes and send them to the base station. The nodes proximity to the CH and neighborhood considering for nodes are the important problems that the most protocols did not consider them. Suggested algorithm tries to balance the energy consumption and increase the network longevity, considering the neighborhood criterion. This algorithm has the lower energy consumption and longer life than the previous algorithms such as Deterministic Cluster- Head Selection (Leachswdn) and Leach-Sliding window and Dynamic Number of Nodes (Leachdchs). In addition, it had the better performance in data transmission to the base station.