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RLNC-aided cooperative compressed sensing for energy efficient vital signal telemonitoring

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10.1109/TWC.2015.2409841
 
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hdl:2117/82510

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Lalos, Aristeidis
Antonopoulos, AngelosMés informació
Kartsakli, Elli
Di Renzo, Marco
Tennina, Stefano
Alonso Zárate, Luis GonzagaMés informacióMés informacióMés informació
Verikoukis, Christos
Document typeArticle
Defense date2015-07-01
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Wireless body area networks (WBANs) are composed of sensors that either monitor and transmit vital signals or act as relays that forward the received data to a body node coordinator (BNC). In this paper, we introduce an energy efficient vital signal telemonitoring scheme, which exploits compressed sensing (CS) for low-complexity signal compression/reconstruction and distributed cooperation for reliable data transmission to the BNC. More specifically, we introduce a cooperative compressed sensing (CCS) approach, which increases the energy efficiency of WBANs by exploiting the benefits of random linear network coding (RLNC). We study the energy efficiency of RLNC and compare it with the store-and-forward (FW) protocol. Our mathematical analysis shows that the gain introduced by RLNC increases as the link failure rate increases, especially in practical scenarios with a limited number of relays. Furthermore, we propose a reconstruction algorithm that further enhances the benefits of RLNC by exploiting key characteristics of vital signals. With the aid of electrocardiographic (ECG) and electroencephalographic (EEG) data available in medical databases, extensive simulation results are illustrated, which validate our theoretical findings and show that the proposed recovery algorithm increases the energy efficiency of the body sensor nodes by 40% compared to conventional CS-based reconstruction methods.
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©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitationLalos, A., Antonopoulos, A., Kartsakli, E., Di Renzo, M., Tennina, S., Alonso, L., Verikoukis, C. RLNC-aided cooperative compressed sensing for energy efficient vital signal telemonitoring. "IEEE transactions on wireless communications", 01 Juliol 2015, vol. 14, núm. 7, p. 3685-3699. 
URIhttp://hdl.handle.net/2117/82510
DOI10.1109/TWC.2015.2409841
ISSN1536-1276
Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7056503
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  • Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.395]
  • WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils - Articles de revista [98]
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