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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2009 Vol.1(1): 19-26 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.4

A Sensor Network Data Aggregation Technique

Mohamed Watfa, William Daher, and Hisham Al Azar
Abstract—Existing sensor network data aggregation techniques assume that the nodes are preprogrammed and send data to a central sink for offline querying and analysis. This approach faces two major drawbacks. First, the system behavior is preprogrammed and cannot be modified on the fly. Second, the increased energy wastage due to the communication overhead will result in decreasing the overall system lifetime. Thus, energy conservation is of prime consideration in sensor network protocols in order to maximize the network’s operational lifetime. In this paper, we give an energy efficient approach to query processing by implementing new optimization techniques applied to in-network aggregation. We first discuss earlier approaches in sensors data management and highlight their disadvantages. We then present our approach and evaluate it through several simulations to prove its efficiency, competence and effectiveness

Index Terms—Sensor Networks, Data Base, Data Fusion, Aggregation, Indexing, Energy Efficiency

M. K. Watfa is with the Department of Computer Science at the University of Wollongong. Phone
W. Daher is with the Department of Computer Science at the American University of Beirut, Beirut Lebanon
H. Al Azar is with the Department of Computer Science at the American University of Beirut, Beirut Lebanon


Cite: Mohamed Watfa, William Daher and Hisham Al Azar , "A Sensor Network Data Aggregation Technique," International Journal of Computer Theory and Engineering vol. 1, no. 1, pp. 19-26, 2009.
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