Medium Access for Concurrent Traffic in Wireless Body Area Networks: Protocol Design and Analysis

Rongrong Zhang, Hassine Moungla, Jihong Yu, Ahmed Mehaoua

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Wireless body area networks have been deployed to monitor the health condition of patients. In these applications, multiple sensors are required to report real-time data to the sink such that a physician can diagnose accurately, particularly for intensive care patients, which boosts the convergecast traffic load and increases the collision probability. However, the existing protocols cannot effectively operate under such concurrent traffic load. To bridge this gap, we present a novel two-phase receiver-initiated medium access control (MAC) protocol for concurrent traffic based on asynchronous duty cycling, which is called C-MAC. Technically, C-MAC in the first phase employs carrier-sense multiple access with collision avoidance of the IEEE 802.15.6 standard and designs an ordering-based communication algorithm to effectively avoid collisions. Moreover, C-MAC enables sensor nodes to switch to standby mode to avoid idle listening and overhearing in the second phase. Furthermore, theoretically, we explicitly formulate the mathematical expressions of the random delay and energy consumption of C-MAC. Finally, we conduct extensive numerical analysis and simulation to demonstrate the correctness of theoretical results and the better effectiveness and efficiency of C-MAC than that of RI-MAC and A-MAC in terms of transmission delay and energy consumption.

Original languageEnglish
Article number7479492
Pages (from-to)2586-2599
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number3
DOIs
Publication statusPublished - Mar 2017
Externally publishedYes

Keywords

  • Asynchronous duty cycling
  • medium access control (MAC)
  • wireless body area networks

Fingerprint

Dive into the research topics of 'Medium Access for Concurrent Traffic in Wireless Body Area Networks: Protocol Design and Analysis'. Together they form a unique fingerprint.

Cite this