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2020 | OriginalPaper | Chapter

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

Authors : Utkarsha Sumedh Pacharaney, Rajiv Kumar Gupta

Published in: Intelligent Communication Technologies and Virtual Mobile Networks

Publisher: 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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Metadata
Title
Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network
Authors
Utkarsha Sumedh Pacharaney
Rajiv Kumar Gupta
Copyright Year
2020
Book
Intelligent Communication Technologies and Virtual Mobile Networks

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

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

Copyright Year: 2020

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