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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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 |
work_keys_str_mv |
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