A Decentralized Scheme for Load Balancing in IEEE 802 . 11 Wireless Networks

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.

[1]  Nicola Baldo,et al.  A Neural Network based cognitive engine for IEEE 802.11 WLAN Access Point selection , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

[2]  Madyan Alsenwi,et al.  Optimization of channel selection in cognitive heterogeneous wireless networks , 2015, 2015 11th International Computer Engineering Conference (ICENCO).

[3]  Joel J. P. C. Rodrigues,et al.  A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience , 2014, 2014 IEEE International Conference on Communications (ICC).

[4]  Chong-kwon Kim,et al.  Traffic-aware decentralized AP selection for multi-rate in WLANs , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).

[5]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[6]  Kee Chaing Chua,et al.  A Capacity Analysis for the IEEE 802.11 MAC Protocol , 2001, Wirel. Networks.

[7]  Jyh-Cheng Chen,et al.  WLC19-4: Effective AP Selection and Load Balancing in IEEE 802.11 Wireless LANs , 2006, IEEE Globecom 2006.

[8]  Raúl Rojas,et al.  Neural Networks - A Systematic Introduction , 1996 .

[9]  Thierry Turletti,et al.  Modeling and analysis of slow CW decrease IEEE 802.11 WLAN , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..