Publication

Abstract : In this article, a generalized analytical model for the evalu-ation 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 mon-itoring and human body communication. The analytical framework of this standard is modelled using a three dimen-sional 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 pe-riod 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 dif-ferent performance metrics such as reliability or the proba-bility of successful packet delivery, throughput and energy consumption. Using Monte-Carlo simulation we obtain the analytical results of reliability, throughput and energy con-sumption for varying offered load and payload, and the sim-ulation 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.