Energy Efficient Sleep Awake Aware (Eesaa) Intelligent Sensor Network Routing Protocol

If the diversification of sensor hubs is not ap- propriately utilized, the power consumption within the system might be unregulated and the load distribution may be uneven which will affect the performance of the system in some ways. Steering algorithms need to focus on energy conservation and load balancing among many different types of nodes in order to increase the network lifetime. One way to do this is to make use of cooperative in cluster routing such as the SEED algorithm to reduce unnecessary transmissions and save energy. Unfortunately, this method suffers from dead time effects which leads to wastage of energy across the network. Further, SEED has limited capacity when the sensor node is active. Heterogeneous traffic rates. To address the energy and traffic diversity problem of the sensor networks, the Traffic and Energy Aware Routing TEAR relative algorithm had been proposed and explained in detail. That is, TEAR will not choose an active node that is low on power but high on the traffic rate to be the group leader for the sake of load balancing. However, TEAR does not prevent neighboring sensor networks from duplicate transmissions. In this work, we propose a hybrid Energy and Traffic Aware Sleep Wake (ETASA) strategy to enhance the energy efficiency and load balancing in heterogeneous wireless sensor networks.