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2022 | OriginalPaper | Buchkapitel

Balancing Energy Consumption for Clustered Wireless Sensor Networks Utilizing Compressed Sensing

verfasst von : Vinh T. Vu, Thuong T. K. Nguyen, Son Q. Tran, Minh T. Nguyen

Erschienen in: Advances in Engineering Research and Application

Verlag: Springer International Publishing

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Abstract

Energy saving in Wireless sensor network (WSNs) is always critical since the networks facilitate many applications in different fields. In this paper, we study and analyze unequal clustering algorithms in the literature and propose a new algorithm that combines traditional unequal clustering algorithms and Compressed sensing (CS) techniques for further energy saving and balancing. In the proposed algorithm, sensor nodes are arranged into unequal clusters that the clusters closer to the base-station (BS) have smaller sizes compare to the ones farther from the BS. A greedy tree is proposed to link all cluster-heads (CHs) together as a tree. CS measurements are created at CHs to be sent via the tree to the BS. Based on a certain number of CS measurements achieved, the BS applies CS recovery algorithms to reconstruct all data collected from the network. Energy consumptions for data transmission in the network are analyzed, formulated. Theory and simulation results are provided for verification purposes. The results show promising points to prolong the network lifetime.

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Titel: Balancing Energy Consumption for Clustered Wireless Sensor Networks Utilizing Compressed Sensing
verfasst von: Vinh T. Vu
Thuong T. K. Nguyen
Son Q. Tran
Minh T. Nguyen
Verlag: Springer International Publishing
Buch: Advances in Engineering Research and Application
Print ISBN: 978-3-030-92573-4

Electronic ISBN: 978-3-030-92574-1

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-92574-1_23

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