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Article Dans Une Revue Journal of Supercomputing Année : 2015

New data aggregation approach for time-constrained wireless sensor networks

Résumé

A fundamental challenge in the design of Wireless Sensor Networks (WSNs) is to maximize their lifetime especially because they have a limited and non- exchangeable energy supply. One of the most important methods to prolong the lifetime of a WSN is data ag- gregation. Indeed, data aggregation reduces the number of broadcasts, hence collisions and energy consumption. Many methods has been proposed in the literatures to organize the network for data aggregation like cluster- ing which has been proved to provide the best perfor- mance in term of energy saving, aggregation gain and packet delivery accuracy, or structure-free which has been proved to perform better than a structure-based data gathering. To benefit all the advantages of these two approaches, we propose a hybrid method that com- bines multilevel structure-based approaches for time- constrained wireless sensor networks. Simulation results show that our proposed method can improve aggrega- tion gain and energy consumption.
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Dates et versions

hal-01499264 , version 1 (31-03-2017)

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Besem Abid, Tien-Trung Nguyen,, Hamida Seba. New data aggregation approach for time-constrained wireless sensor networks. Journal of Supercomputing, 2015, 5, 71, pp.1678-1693. ⟨10.1007/s11227-014-1241-7⟩. ⟨hal-01499264⟩
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