Energy competent cluster based prediction framework for wireless sensor network
A. C. Jayasudha, Veeramuthu Venkatesh · Contemporary Engineering Sciences · 2014
In wireless sensor networks, sensors unceasingly scrutinize the target environment and impart data to the base station for further resolution. Since it is a resource constraints environment, network lifetime pursues on the battery backup. Hence in this paper, clustering based localized prediction scheme is proposed by exploiting spatial and temporal correlation to have accurate data aggregation and energy efficient network. Cluster updates the history of all sensor values, where cluster member will be in sleep/awake state and adaptively chooses prediction schemes by comparing with error bound range. Key values are generated at each node to contribute authentication process during communication. Thus data aggregation using this algorithm will reduce energy consumption and there is a significant trade-off between communication and computation cost. NS2.29 simulator is used to evaluate the performance of various parameters of protocols such as AODV, DSR, DSDV with our proposed framework.