Journal of Parallel and Distributed Computing - Special issue on wireless and mobile computing and communications
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
Runtime Optimization of IEEE 802.11 Wireless LANs Performance
IEEE Transactions on Parallel and Distributed Systems
Run-Time fuzzy optimization of IEEE 802.11 wireless LANs performance
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
IEEE 802.11 Wireless Local Area Networks
IEEE Communications Magazine
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism
IEEE Journal on Selected Areas in Communications
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In our previous works, we focused on run-time optimization of the IEEE 802.11 protocol to improve its performance using a well-known fuzzy logic approach. Specifically, we derived the simple, and more accurate, approximation of the network contention level and the average size of contention window to maximize the theoretical throughput limit. In addition, we proposed the distributed fuzzy contention control (DFCC) mechanism using a fuzzy logic approach. In this paper, we propose the extension of the DFCC mechanism with a priority mechanism. To verify efficiency and robustness of our mechanism, the performance of the IEEE 802.11 standard protocol with the extension of DFCC mechanism are investigated through more realistic scenarios.