Wireless Sensor Network has limited battery power and computational power, leads to increased complexity. A better data aggregation framework on wireless sensor networks gives anefficient battery power and improved lifetime.This paper brings out the various concepts associated with wireless sensor networking and various advantages of using WSN like knowledge repository, cost deduction, phishing filters, ERP applications, data privacy distinguish competencies through resources and capacity building. Here we investigate models and mechanisms for detection and recovery form faults and propose an adaptation framework to facilitate their deployment and maintenance.

This can be achieved by making the framework as middleware for aggregating data, measured by a number of nodes within a network. In this paper the performance of TAG in terms of energy efficiency in comparison with and without data aggregation in wireless sensor networks is presented.

 

Keywords: Aggregation; Sensor Network; Clustering.