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Adaptive Parameters of an Enhanced Backoff Method by Using an Artificial Neural Network Between mobiles in an Industrial Domain


Hassan Kabalan, Jamal Haydar, Youssef Harkouss, Mourad Gueroui, Walid Fahs


Vol. 12  No. 11  pp. 35-41


The purpose of this study is to discuss the exchanges between mobiles moving in an industrial environment. A simulation approach has been chosen in order reach this study. This novel method aimed to minimize the exchange time between mobiles within an 802.11 cell. The optimization of this time was carried out by modifying the binary exponential aspect of the Backoff algorithm as a first phase, where as a second phase this modified and enhanced BEB method was supported by a Neural Network Function to give us precise output parameters. Those outputs will be learned by the Neural Network Function and will be used in the NS2 simulation to get the new results of the time delay to compare them with the standard BEB method results.


WLAN, IEEE802.11, Carrier Sense Multiple Access with Collision Avoidance CSMA/CA, BEB, Artificial Neural Network (ANN), Radial Basis Function Neural Network (RBFNN), Access Point (AP)