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2020 | OriginalPaper | Buchkapitel

Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network

verfasst von : Utkarsha Sumedh Pacharaney, Rajiv Kumar Gupta

Erschienen in: Intelligent Communication Technologies and Virtual Mobile Networks

Verlag: Springer International Publishing

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Abstract

Densely deployed Wireless Sensor Network (WSN) generates massive amount of data, which is processed and transmitted by resource constrained sensor nodes. The challenge of reducing high transmissions with low cost on-node processing can be achieved using Compressive Sensing (CS) CS data gathering from these nodes is designed under various routing mechanisms. Cluster-based routing integrated with CS, reduce transportation cost, but overall transmissions in the network are not reduced. When the density of nodes is high, advantage can be taken of their spatial closeness to form clusters. Motivated with this, we propose a novel Spatially Correlated Cluster (SCC) and integrate CS at cluster head. Different from other spatially correlated clusters, clusters with radius equal to sensing range of sensors is formed. Comparing our work with the state of the art methods, the proposed system reduces overall number of transmissions, hence reducing energy consumption and prolonging the network lifetime.

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Metadaten
Titel
Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network
verfasst von
Utkarsha Sumedh Pacharaney
Rajiv Kumar Gupta
Copyright-Jahr
2020
Buch
Intelligent Communication Technologies and Virtual Mobile Networks

Print ISBN: 978-3-030-28363-6

Electronic ISBN: 978-3-030-28364-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-28364-3_1

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