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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2018

07.06.2018

Enhancement of the Traffic Differentiation Architecture for WBAN Based on IEEE 802.15.4

verfasst von: Sabri Khssibi, Adrien Van Den Bossche, Hanen Idoudi, Leila Azouz Saidane, Thierry Val

Erschienen in: Wireless Personal Communications | Ausgabe 3/2018

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Abstract

In the healthcare domain, Wireless Body Area Network has emerged as a vital technology that is capable of providing better methods to diagnose various hazardous diseases. The CANet projet is a project that proposes alternative monitoring solutions. This paper studies the possibility of transmitting different types of information through an IEEE 802.15.4 MAC layer that not supports the transmission of heterogeneous information. We have proposed an extension to the MAC layer which makes possible the transmission of various information types. This solution designed by “diffrentiation layer” uses a purge function to ensure the use of CAP and CFP by the same node in the same superframe and allows the differentiation between several information. Our results show that our solution is reliable under worst-case.
Vorheriger Artikel Big Data Based Self-Optimization Networking in Next Generation Mobile Networks
Nächster Artikel Interference Mitigation Based on Radio Aware Channel Assignment for Wireless Mesh Networks

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Metadaten
Titel
Enhancement of the Traffic Differentiation Architecture for WBAN Based on IEEE 802.15.4
verfasst von
Sabri Khssibi
Adrien Van Den Bossche
Hanen Idoudi
Leila Azouz Saidane
Thierry Val
Publikationsdatum
07.06.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5775-5

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