Abstract
Wireless Sensor Network (WSN) has been used for data collection in different situations. Various methods are described earlier for the problem, but they consider only limited parameters in data collection which introduces poor lifetime, throughput and energy holes. To overcome this issue, a real time energy efficient data aggregation approach is presented here. The method schedules the nodes of the network for their working based on the parameters (Availability-Throughput-Lifetime) ATL. Using all these parameters, the method estimates Data Availability Support, Network Throughput Support and Network Lifetime Support measures. Using all these support measures, the method computes the Data Aggregation Support (DAGS) measure. Using the measure estimated, the nodes are scheduled for their working. Similarly, the nodes are selected for data aggregation based on the above support measures estimated. The ATL approach achieves higher data aggregation performance with higher lifetime maximization.
Published Version
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