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Accurate and Efficient Modeling of 802.15.4 Unslotted CSMA/CA through Event Chains Computation


Many analytical models have been proposed for evaluating the performance of event-driven 802.15.4 Wireless Sensor Networks (WSNs), in Non-Beacon Enabled (NBE) mode. However, existing models do not provide accurate analysis of large-scale WSNs, due to tractability issues and/or simplifying assumptions. In this paper, we propose a new approach called Event Chains Computation (ECC) to model the unslotted CSMA/CA algorithm used for channel access in NBE mode. ECC relies on the idea that outcomes of the CSMA/CA algorithm can be represented as chains of events that subsequently occur in the network. Although ECC can generate all the possible outcomes, it only considers chains with a probability to occur greater than a pre-defined threshold to reduce complexity. Furthermore, ECC parallelizes the computation by managing different chains through different threads. Our results show that, by an appropriate threshold selection, the time to derive performance metrics can be drastically reduced, with negligible impact on accuracy. We also show that the computation time decreases almost linearly with the number of employed threads. We validate our model through simulations and testbed experiments, and use it to investigate the impact of different parameters on the WSN performance, in terms of delivery ratio, latency, and energy consumption.


IEEE Transactions on Mobile Computing , 2016

Autori esterni: D. De Guglielmo and G. Anastasi (Department of Information Engineering, University of Pisa, Italy), F. Restuccia and S.K. Das (Department of Computer Science, Missouri University of Science and Technology, Rolla, MO)
Autori IIT:

Tipo: Contributo in rivista ISI
Area di disciplina: Information Technology and Communication Systems

File: 07404280.pdf
Da pagina 2954 a pagina 2968

Attività: Internet of Things