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Title: Energy and Lifetime Analysis of Compressed Wireless Sensor Network Communication
Authors: Karakuş, Celalettin
Gürbüz, Ali Cafer
Tavlı, Bülent
Keywords: compressive sensing
wireless sensor networks
energy efficiency
network lifetime
linear programming
Issue Date: 2013
Publisher: IEEE
Source: 8th IEEE Sensors Applications Symposium (SAS) -- FEB 19-21, 2013 -- Galveston, TX
Abstract: Improving the lifetime of Wireless Sensor Networks (WSNs) is directly related with the energy efficiency of computation and communication operations in the sensor nodes. By employing the concepts of Compressive Sensing (CS) theory it is possible to reconstruct a sparse signal with a certain number of random linear measurements, which is much less than the number of measurements necessary in conventional signal reconstruction techniques. In this study, we built an energy dissipation model to quantitatively compare the energy dissipation characteristics of CS and conventional signal processing techniques. This model is used to construct a Linear Programming (LP) framework that jointly captures the energy costs for computing and communication both for CS based techniques and conventional techniques. It is observed that CS prolongs the network lifetime for sparse signals.
ISBN: 978-1-4673-4635-1; 978-1-4673-4636-8
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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