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Conference Papers Year : 2019

Markovian Model for Broadcast in Wireless Body Area Networks


Wireless body area networks became recently a vast field of investigation. A large amount of research in this field is dedicated to the evaluation of various communication protocols, e.g., broadcast or convergecast, against human body mobility. Most of the time this evaluation is done via simulations and in many situations only synthetic data is used for the human body mobility. In this paper we propose for the first time in Wireless Body Area Networks a Markovian analytical model specifically designed for WBAN networks. The main objective of the model is to evaluate the efficiency of a multi-hop transmission in the case of a diffusion-based broadcast protocol, with respect to various performance parameters (e.g., cover probability, average cover number, hitting probability or average cover time). We validate our model by comparing its results to simulation and show its accuracy. Finally, but not least, we show how our model can be used to analytically evaluate the trade-off between transmission power and redundancy, when the same message is broadcasted several times in order to increase the broadcast reliability while maintaining a low transmission power.
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hal-02151294 , version 1 (07-06-2019)



Bruno Baynat, Gewu Bu, Maria Potop-Butucaru. Markovian Model for Broadcast in Wireless Body Area Networks. The 17th ACM International Symposium on Mobility Management and Wireless Access (MobiWAC 2019), Nov 2019, Miami, United States. pp.63-70, ⟨10.1145/3345770.3356747⟩. ⟨hal-02151294⟩
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