Enhancing Performance of Multi-Rate WLANs: Ant Colony Approach  

作　　者：Qiang Ma Abdullah Al-Dhelaan Mznah Al-Rodhaan 

机构地区：[1]Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia

出　　处：《Wireless Sensor Network》2015年第12期157-170,共14页无线传感网络（英文）

摘　　要：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.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.

关 键 词：Power Control Proportional FAIRNESS ANT COLONY Optimization Coefficient of Variation HEURISTIC Function 

分 类 号：TN92[电子电信—通信与信息系统]