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Energy efficiency is the most important issue in all facets of Wireless Sensor Networks (WSNs) operations because of the limited and non-replenish able energy supply. Data aggregation mechanism is one of the possible solutions to prolong the life time of sensor nodes and on the other hand it also helps in eliminating the data redundancy and improving the accuracy of information gathering, is essential for WSNs. Thus the authors can say that a key challenging question in Wireless Sensor Network is to schedule nodes activities to reduce energy consumption. In this paper, they propose a Dynamic Data Aggregation Tree Algorithm (DDAT) in which they create aggregation tree which aim to reduce energy consumption, minimizing the distance traversed and minimizing the cost in terms of energy consumption.
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