Optimizing Throughput Using Energy Efficient Data Aggregation Technique for Cluster Based Wireless Sensor Network

Abstract

Wireless Sensor Network (WSN) is group of autonomous nodes in a wireless pasture which sense data and sends to base station. Nodes are very small in size having restricted processing and transmission capabilities with very low battery power. An essential challenge in Wireless Sensor Network (WSN) is to maximize their life time. WSN bear from bandwidth, battery power and computational constraint due to these factors end-to-end data transmission get reduce. These limitations of limited battery power cause the WSN prone to collapse. Data aggregation is a notable technology as a proven solution for this problem because after removal of redundant data number of packet reduces which need to be sent to base station. Data aggregation is reflect as a fundamental approach in WSNs in order to reduce the number of broadcast of sensor nodes, and hence reducing overall power utilization resulting prolonging the network life time. In this research article, we are going to introduce a data aggregation algorithm which is free from the computational complexities constituted with finding an optimal packet size and designing a frequency table of data patterns. In-spite of sending complete data, a unique code assigned to data pattern based on meeting a specific frequency is sent to BS which is decoded therein. We have gained better results in this data aggregation algorithm to apply in wireless sensor network in order to prolong the network life time through less message exchange and reduced packet size.