Cascading Model in Underwater Wireless Sensors using Routing Policy for State Transitions

Abstract Underwater wireless sensors communicate information from different depth of water column to sink positioned on the surface of water. Monotonically increasing data traffic occurs as it reaches surface of water column causing an imbalance of routing and resulting in congested nodes. Underwater wireless sensor node can be either in normal, overloaded state, congested state. The purpose of this work is achieving control over normal and isolated states. The congested node use the permutation of links and it observe the transition probabilities for routing. Then it determines the state of node based on the immediate reward and the action to be taken within the time episode. Thus nodes are isolated and recovered after the time episode. Improved estimate in forwarding scenario of overloaded and isolating nodes is observed via simulation results in NS2 simulator.

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