Ma, Q., Al-Dhelaan, A. and Al-Rodhaan, M. (2015) Using Hopfield Neural Network to Improve the Performance of Multi-rate WLANs. Proceedings of 4th WSEAS International Conference on Circuits, Systems, Communications, Computers and Applications, Kuala Lumpur, May 2015, 170-178.

has been cited by the following article:

• TITLE: Enhancing Performance of Multi-Rate WLANs: Ant Colony Approach

  AUTHORS: Qiang Ma, Abdullah Al-Dhelaan, Mznah Al-Rodhaan

  KEYWORDS: Power Control, Proportional Fairness, Ant Colony, Optimization, Coefficient of Variation, Heuristic Function

  JOURNAL NAME: Wireless Sensor Network, Vol.7 No.12, December 16, 2015

  ABSTRACT: The trade-off between users’ fairness and network throughput may be unacceptable in a multi-rate 802.11 WLAN environment. In this paper, we will design a new intuitive simplified mathematical model called simplified coefficient of variation (SCV) to closely reflect our topic. Through controlling the power of Access Points, SCV can optimize and improve the performance. Since our topic is a NP-hard problem, we use Ant Colony Algorithm to solve our model in a practical scenario. The simulation shows excellent results indicating that our model is efficient and superior to an existing method. Also we use software SAS to further reveal the relationships among the three indicators to illustrate the essence of our approach and an existing algorithm.