Fuzzy Active Queue Management for Congestion Control in Wireless Ad-Hoc

International Arab Journal of Information Technology (IAJIT)

Maryam Madani¹  Shadpour Mallakpour² 

[1] Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$;Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$

关键词: Active queue management;    ad-hoc networks;    fuzzy systems;    intelligent networks;    network congestion. ;   

DOI  :  

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

Mobile ad-hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the ability to handle the congestion in its queues during traffic overflow. Traditionally, this was done through Drop-Tail policy where the node drops the incoming packets to its queues during overflow condition. Many studies showed that early dropping of incoming packet is an effective technique to avoid congestion and to minimize the packet latency. Such approach is known as Active Queue Management (AQM). In this paper, an enhanced algorithm, called Fuzzy-AQM, is suggested using fuzzy logic system to achieve the benefits of AQM. Uncertainty associated with queue congestion estimation and lack of mathematical model for estimating the time to start dropping incoming packets makes the Fuzzy-AQM algorithm the best choice. Extensive performance analysis via simulation showed the effectiveness of the proposed method for congestion detection and avoidance improving overall network performance.  Keywords: Active queue management, ad-hoc networks, fuzzy systems, intelligent networks, network congestion.  Received September 24, 2005; accepted March 28, 2006

【 授权许可】

Unknown