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Communication Dans Un Congrès Année : 2016

Data Window Aggregation techniques for Energy Saving in Wireless Sensor Networks

Somasekhar Kandukuri
Jean-Mickaël Lebreton
  • Fonction : Auteur
  • PersonId : 970430
Nour Murad
Richard Lorion
  • Fonction : Auteur
  • PersonId : 969195

Résumé

—Redundant data transmissions are likely to happen repeatedly in Wireless Sensor Networks (WSNs). According to the literature survey, energy-efficiency predominately relies on data aggregation rather than routing or duty-cycling approaches. As data redundancy dominates the power usage in communication costs, in order to identify and reduce the redundant data transmissions by individual nodes, we propose a hybrid data ag-gregative window function (DAWF) algorithm for exploiting both spatial and temporal data redundancies in WSNs. Furthermore, the proposed novel approach aims to process the hybrid filtration using both compressive and prediction-based techniques in sensor nodes (SN) as well as in cluster-head (CH) nodes. In this regard, the experimental study case of this work show that the DAWF mechanism can suppress a huge amount of temporal redundant data transmissions in sensor nodes while providing reliable data messages towards the base station (BS). Moreover, DAWF CH can also suppress a large amount of spatial redundancies by utilizing the optimum DAWF parameters of the CH node.
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Dates et versions

hal-01344997 , version 1 (05-04-2018)

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  • HAL Id : hal-01344997 , version 1

Citer

Somasekhar Kandukuri, Jean-Mickaël Lebreton, Denis Genon-Catalot, Nour Murad, Richard Lorion. Data Window Aggregation techniques for Energy Saving in Wireless Sensor Networks. ISCC 2016 - The twenty first IEEE Symposium on Computers and Communications, IEEE Computer Society, IEEE Communications Society, MDS LAb Messina, Jun 2016, Messina, Italy. ⟨hal-01344997⟩
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