A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications

Relay sensor networks are often employed in end-to-end healthcare applications to facilitate the information flow between patient worn sensors and the medical data center. Medium access control (MAC) protocols, based on random linear network coding (RLNC), are a novel and suitable approach to effici...

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Main Authors: Elli Kartsakli, Angelos Antonopoulos, Luis Alonso, Christos Verikoukis
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/3/4806
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spelling doaj-eeb6224bde014460a8958863bc7a7a8e2020-11-25T01:01:31ZengMDPI AGSensors1424-82202014-03-011434806483010.3390/s140304806s140304806A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare ApplicationsElli Kartsakli0Angelos Antonopoulos1Luis Alonso2Christos Verikoukis3Department of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC—BarcelonaTECH), C./ Esteve Terradas 7, C4-202P, Castelldefels 08860, SpainTelecommunications Technological Centre of Catalonia (CTTC), Castelldefels 08860, SpainDepartment of Signal Theory and Communications (TSC), Technical University of Catalonia (UPC—BarcelonaTECH), C./ Esteve Terradas 7, C4-202P, Castelldefels 08860, SpainTelecommunications Technological Centre of Catalonia (CTTC), Castelldefels 08860, SpainRelay sensor networks are often employed in end-to-end healthcare applications to facilitate the information flow between patient worn sensors and the medical data center. Medium access control (MAC) protocols, based on random linear network coding (RLNC), are a novel and suitable approach to efficiently handle data dissemination. However, several challenges arise, such as additional delays introduced by the intermediate relay nodes and decoding failures, due to channel errors. In this paper, we tackle these issues by adopting a cloud architecture where the set of relays is connected to a coordinating entity, called cloud manager. We propose a cloud-assisted RLNC-based MAC protocol (CLNC-MAC) and develop a mathematical model for the calculation of the key performance metrics, namely the system throughput, the mean completion time for data delivery and the energy efficiency. We show the importance of central coordination in fully exploiting the gain of RLNC under error-prone channels.http://www.mdpi.com/1424-8220/14/3/4806MAC protocol designnetwork codingcloudWBANsWSNshealthcare
collection DOAJ
language English
format Article
sources DOAJ
author Elli Kartsakli
Angelos Antonopoulos
Luis Alonso
Christos Verikoukis
spellingShingle Elli Kartsakli
Angelos Antonopoulos
Luis Alonso
Christos Verikoukis
A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
Sensors
MAC protocol design
network coding
cloud
WBANs
WSNs
healthcare
author_facet Elli Kartsakli
Angelos Antonopoulos
Luis Alonso
Christos Verikoukis
author_sort Elli Kartsakli
title A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
title_short A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
title_full A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
title_fullStr A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
title_full_unstemmed A Cloud-Assisted Random Linear Network Coding Medium Access Control Protocol for Healthcare Applications
title_sort cloud-assisted random linear network coding medium access control protocol for healthcare applications
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-03-01
description Relay sensor networks are often employed in end-to-end healthcare applications to facilitate the information flow between patient worn sensors and the medical data center. Medium access control (MAC) protocols, based on random linear network coding (RLNC), are a novel and suitable approach to efficiently handle data dissemination. However, several challenges arise, such as additional delays introduced by the intermediate relay nodes and decoding failures, due to channel errors. In this paper, we tackle these issues by adopting a cloud architecture where the set of relays is connected to a coordinating entity, called cloud manager. We propose a cloud-assisted RLNC-based MAC protocol (CLNC-MAC) and develop a mathematical model for the calculation of the key performance metrics, namely the system throughput, the mean completion time for data delivery and the energy efficiency. We show the importance of central coordination in fully exploiting the gain of RLNC under error-prone channels.
topic MAC protocol design
network coding
cloud
WBANs
WSNs
healthcare
url http://www.mdpi.com/1424-8220/14/3/4806
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