Performance enhancement of IEEE 802.15.6 using collision avoidance technique

Muhammad Adnan, Farag Sallabi, Khaled Shuaib, Mohammed Abdul-Hafez

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Research related toWireless Body AreaNetworks (WBAN) has recently gainedmore attention due to its application in enabling smart healthcare systems. AWBAN consists of several sensing nodes and a dedicated coordinator. The distributed nodes communicate with the coordinator by accessing the physical communication channel in a randomly distributed fashion. Random channel access may cause frame re-transmission of corrupted frames due to frame collisions. As a result of that, there will be degradation in theWBAN throughput, an increase in delay, and a waste of node energy. Nodes within a WBAN can be classified using specific user priorities allowing for prioritized communication to reduce possible frame collisions. To improve the performance and energy efficiency, this work aims to reduce collisions among nodes that belong to the same users' priority (homogeneous collisions) and collisions among nodes of different users' priorities (heterogeneous collisions). Homogeneous collisions can be reduced by scaling the minimum ContentionWindow (CW) among nodes within the same user priority, whereas heterogeneous collisions can be reduced by allowing higher user priority nodes to transmit while lower user priority nodes enter into a backoff state. This paper presents an analytical model and extensive simulations to show the enhanced performance of the proposed collision avoidance mechanism. The results show that the throughput and node energy efficiency is improved by a factor of three and two times, respectively.

Original languageEnglish
Article number33
JournalJournal of Sensor and Actuator Networks
Volume9
Issue number3
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Energy efficiency
  • IEEE 802.15.6
  • Internet of Things (IoT)
  • Network delay
  • Smart healthcare

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Control and Optimization

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