Author(s): Amandeep Kaur, Jyotsna Sengupta

Energy is the main constraint of wireless sensor networks (WSNs) due to irreplaceable and limited power sources of the sensor nodes. Clustering is the most popular topology control method to reduce energy consumption and improve scalability of WSNs. However, in a cluster based WSN, cluster heads (CHs) consume more energy due to extra work load owing to data collection, data aggregation and their communication to the base station. Various approaches have been used for formation of efficient clustering in WSN so that energy consumption can be reduced. Maximum amount of energy that consumed in WSN is during data transmission. To overcome this problem an approach must be developed that can sense changes occurred in the current sensed value and previous sensed value, so that redundant information can be blocked. We removed energy consumption for working of sensor nodes developing clustering using TEEN protocol & implement soft threshold for reducing redundant information transmission over the network.