A self-organized dynamic clustering method and its multiple access mechanism for multiple WBANs

Jiasong Mu, Robert Stewart, Liang Han, David Crawford

Research output: Contribution to journalArticle

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

Due to its wide application range and attractive features, wireless body area networks (WBANs) is considered as a revolutionary technology, which is envisaged to change how people manage and think about their health and their life styles. In this paper, we propose a self-organized dynamic clustering (SDC) method and its multiple access mechanism to mitigate the interference and improve the QoS in multiple WBANs environment. To the best of our knowledge, this is the first paper that focuses on the spectrum allocation for multiple WBANs. We borrow the concepts of cell and cluster from cellular networks to allocate the channels for different WBANs. The clustering is self-organized to improve the data transmission for intra-WBAN communication by the information exchange via inter-WBAN communication. Additionally, based on the cluster architecture, an inter-WBAN relaying (IWR) protocol for packets with low privacy or high reliability is also investigated. The simulation results show that SDC has better signal to interference ratio compared with existing framework. Besides, SDC and IWR also provide better QoS performance in terms of higher data packet delivery ratio and lower packet delay.
Original languageEnglish
Pages (from-to)6042-6051
Number of pages10
JournalIEEE Internet of Things Journal
Volume6
Issue number4
Early online date24 Sep 2018
DOIs
Publication statusPublished - 31 Aug 2019

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Telecommunication networks
Quality of service
Data communication systems
Health
Network protocols

Keywords

  • clustering
  • interference mitigation
  • spectrum allocation
  • wireless body area networks (WBANs)

Cite this

Mu, Jiasong ; Stewart, Robert ; Han, Liang ; Crawford, David. / A self-organized dynamic clustering method and its multiple access mechanism for multiple WBANs. In: IEEE Internet of Things Journal. 2019 ; Vol. 6, No. 4. pp. 6042-6051.
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A self-organized dynamic clustering method and its multiple access mechanism for multiple WBANs. / Mu, Jiasong ; Stewart, Robert; Han, Liang; Crawford, David.

In: IEEE Internet of Things Journal, Vol. 6, No. 4, 31.08.2019, p. 6042-6051.

Research output: Contribution to journalArticle

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