Dynamic Lifetime Approximation Based Cluster Head Selection for Efficient Data Aggregation in Wireless Sensor Network

摘要

The Wireless Sensor Network (WSN) is used in many domains and data collection is one amongthem. The WSN can be deployed anywhere on the battlefield for data collection. To perform data collection,lot more methods has been recommended but suffers to achieve the performance in saturation. To improve theperformance in data collection and to maximize the lifetime of the sensor network, a dynamic lifetimeapproximation algorithm is discussed in this study. The proposed method selects the cluster head each timebased on energy, the frequency of data transmission, some neighbors and number of transmissions involved.The proposed method computes the Pertinent Lifetime Weight (PLW) and Pertinent Route Weight (PRW) usingthe factors mentioned above and the cluster head selection is performed. Based on a computed value ofpertinent route weight the method selects a single route to perform data aggregation. This approach improvesthe lifetime and performance of aggregation of data in WSN.