9th International Conference on Body Area Networks

Research Article

Markov chain based analysis of IEEE 802.15.6 MAC protocol in real life scenario

  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.257202,
        author={Amitava Mukherjee and Bitan Bandyopadhyay and Debayan Das and Ayan Chatterjee and Sk. Jahid Ahmed and Mrinal Naskar},
        title={Markov chain based analysis of IEEE 802.15.6 MAC protocol in real life scenario},
        proceedings={9th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2014},
        month={11},
        keywords={wireless commmunication performance attributes reliability availability and service ability modeling techniques},
        doi={10.4108/icst.bodynets.2014.257202}
    }
    
  • Amitava Mukherjee
    Bitan Bandyopadhyay
    Debayan Das
    Ayan Chatterjee
    Sk. Jahid Ahmed
    Mrinal Naskar
    Year: 2014
    Markov chain based analysis of IEEE 802.15.6 MAC protocol in real life scenario
    BODYNETS
    ACM
    DOI: 10.4108/icst.bodynets.2014.257202
Amitava Mukherjee1,*, Bitan Bandyopadhyay2, Debayan Das2, Ayan Chatterjee2, Sk. Jahid Ahmed2, Mrinal Naskar2
  • 1: IBM India Private Limited
  • 2: Department of ETCE, Jadavpur University
*Contact email: amitava.mukherjee@in.ibm.com

Abstract

In this article, a generalized analytical model for the evaluation of different performance parameters of IEEE 802.15.6 standard is proposed. The standard is specifically designed for the purpose of supporting body-sensors, e-health monitoring and human body communication. The analytical framework of this standard is modelled using a three dimensional Markov chain with backoff stage, backoff counter and retransmission counter, as the stochastic parameters. To model the mechanism of backoff freezing, which occurs due to insufficient time period for data packet transmission in the allotted access period and the packet is dropped after certain recurrences of this incident, allocating the access period for the next data packet. Unlike previous analytical models, a dynamic or time-variant variable is incorporated in our proposed analytical model to support this mechanism. From the analytical model, we obtain the expressions for different performance metrics such as reliability or the probability of successful packet delivery, throughput and energy consumption. Using Monte-Carlo simulation we obtain the analytical results of reliability, throughput and energy consumption for varying offered load and payload, and the simulation results are obtained using Castalia simulator. The simulation results are compared with the analytical results of our proposed analytical model and an existing analytical model from present literature.