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A cloud-assisted random linear network coding medium access control protocol for healthcare applications

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Kartsakli, Elli
Antonopoulos, AngelosMés informació
Alonso Zárate, Luis GonzagaMés informacióMés informacióMés informació
Verikoukis, Christos
Document typeArticle
Defense date2014-03
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
ProjectKINOPTIM - KINOPTIM: An ICT solution for the implementation of an innovating fall prevention and holistic management service for the elderly community (EC-FP7-324491)
ESEE - Environmental Sensors for Energy Efficiency (EC-FP7-324284)
WSN4QOL - Secure Location-Aware Cooperative Network-Coded WSNs for better Quality of Life (EC-FP7-286047)
Abstract
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.
CitationKartsakli, E. [et al.]. A cloud-assisted random linear network coding medium access control protocol for healthcare applications. "Sensors", Març 2014, vol. 14, núm. 3, p. 4806-4830. 
URIhttp://hdl.handle.net/2117/23036
DOI10.3390/s140304806
ISSN1424-8220
Publisher versionhttp://www.mdpi.com/1424-8220/14/3/4806
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