E-viri
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Block, Dimitri; Naderpour, Yashar; Shrestha, Ganesh Man; Meier, Uwe
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014-Sept.Conference Proceeding
Industrial Automation (IA) applications require deterministic communication channels to ensure a reliable operation. As the wireless medium is a shared medium used by many other wireless technologies, a deterministic medium access method (MAM) is necessary. An improvement of the coexistence behavior can be achieved by applying adaptive MAMs, but they cannot meet any real-time demands. A promising approach to meet real-time as well as coexistence demands are cognitive MAMs. We evaluate the performance of three different cognitive MAMs which differ in the probabilistic prediction model: Two methods are based on Markov modelling (MM) and one method is based on an auto-regressive (AR) model. The MAMs are experimentally evaluated in a worst case wireless measurement scenario.
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