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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

27.05.2017

Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor Network

verfasst von: Rajesh K. Yadav, Daya Gupta, D. K. Lobiyal

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

Economic utilization of energy in wireless sensor network, composed of tiny battery powered sensor nodes constrained in energy and computation power is a critical issue. Clustering techniques are most often used to reduce the consumption of energy by the sensor nodes due to data transmission. A widely used class of clustering techniques is probabilistic clustering in which a predetermined optimal probability is used to facilitate the cluster head selection process. This paper aims to devise a technique that improves the energy efficiency of probabilistic clustering algorithms by optimizing the number of clusters and the distribution of cluster heads in the network. We also present two generic approaches to integrate proposed technique into the existing probabilistic clustering algorithms. The simulation results show a considerable improvement in energy efficiency of probabilistic clustering protocols and consequently a prolonged network life time.
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Metadaten
Titel
Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor Network
verfasst von
Rajesh K. Yadav
Daya Gupta
D. K. Lobiyal
Publikationsdatum
27.05.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4370-5

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