Dynamic Data Aggregation Tree for Data Gathering in Wireless Sensor Network
Deepali Virmani1, Gargi Mandal2, Nidhi Beniwal3, Saloni Talwar4

1Deepali Virmani, Department of CSE, BPIT, GGSIPU, (New Delhi), India.
2Gargi Mandal, Department of CSE, BPIT, GGSIPU, (New Delhi), India.
3Nidhi Beniwal, Department of CSE, BPIT, GGSIPU, (New Delhi), India.
4Saloni Talwar, Department of CSE, BPIT, GGSIPU, (New Delhi), India.

Manuscript received on 07 February 2013 | Revised Manuscript received on 21 February 2013 | Manuscript Published on 28 February 2013 | PP: 226-230 | Volume-2 Issue-3, February 2013 | Retrieval Number: C0440022313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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 we can say that a key challenging question in Wireless Sensor Network is to schedule nodes activities to reduce energy consumption. In this paper we propose a Dynamic Data Aggregation Tree Algorithm (DDAT) in which we create aggregation tree which aim to reduce energy consumption, minimizing the distance traversed and minimizing the cost in terms of energy consumption. In DDAT the node having maximum available energy is used as parent node/ aggregator node. We concluded with the best possible aggregation tree minimizing energy utilization, minimizing cost and hence maximizing network lifetime.
Keywords: Aggregation, Energy, Cost, Distance.

Scope of the Article: Data Mining and Warehousing