A Decentralized Scheme for Load Balancing in IEEE 802.11 Wireless Networks
نویسندگان
چکیده
In this paper, a decentralized method for Load Balancing in IEEE 802.11 wireless LANs is proposed. In this proposed method, users autonomously select the most appropriate Access Point (AP) by sensing available APs, and selecting the best one. The Hopfield Neural Networks are used which is an autonomous and decentralized optimization technique. The Hopfield Neural Networks can be used in optimization by investing the decreasing property of energy function of the Hopfield Networks. We run the proposed method on mobile terminal to select the AP that maximizes the throughput and of the device and keeps a load balancing between all users. Numerical simulations show the validity of the proposed algorithm.
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