Performance evaluation of cognitive wireless medium access methods in industrial coexisting environments

Author

Block, Dimitri ; Naderpour, Yashar ; Shrestha, Ganesh Man ; Meier, Uwe

Author_Institution

Inst. Ind. IT, Ostwestfalen-Lippe Univ. of Appl. Sci., Lemgo, Germany

fYear

2014

fDate

16-19 Sept. 2014

Firstpage

1

Lastpage

8

Abstract

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.

Keywords

Markov processes; autoregressive processes; cognitive radio; performance evaluation; radio access networks; telecommunication network reliability; wireless channels; AR model; IA application; MM; Markov modelling; autoregressive model; cognitive MAM; cognitive wireless medium access methods performance evaluation; deterministic communication channel; industrial automation application; industrial coexisting environment; probabilistic prediction model; Adaptation models; Hidden Markov models; Loss measurement; Markov processes; Predictive models; Probabilistic logic; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technology and Factory Automation (ETFA), 2014 IEEE

Conference_Location

Barcelona

Type

conf

DOI

10.1109/ETFA.2014.7005120

Filename

7005120