Efficient Load Balancing Technique to Ensure Predictability and Reliability in Wireless Sensor Network

In time critical Wireless Sensor Network to obtain optimality, predictability and reliability, Cluster Head selection plays a vital role. Optimal Cluster Head utilizes the limited energy in an efficient manner and hence network lifetime is maximized. Hence the work focuses on an optimal Residue Energy Based algorithm for Cluster Head Selection. In this algorithm, node with maximum residual energy and has good link quality is selected as a Cluster Head in each round of transmission. To predict whether all nodes, are able to complete its task within the given lifetime requirement, energy bounds are estimated and test will be conducted to check if all nodes are within the bounds or not. To decrease the probability of failure communication between Cluster Head and Mobile Sink, Mobile Agents and Gateway Node are deployed. By partitioning the network into segments, Multiple Mobile Agents are act as managers that collect data from Cluster Head and perform aggregation in parallel and forwards it to Gateway Node. Gateway is a high energy resource and acts as an interface between Mobile Agent and Mobile Sink. It performs overall aggregation and forward data to Mobile Sink. Mobile Sink periodically collects data from Gateway. The work focuses on determining optimized techniques to predict the lifetime of sensors and research on the impact of deploying high energy nodes to enhance energy conservation over the network.