Title
Deploying Lightweight Queue Management for improving performance of Mobile Ad-hoc Networks (MANETs)
Abstract
Network based congestion avoidance which involves managing the queues in the network devices is an integral part of any network. Most of the mobile networks today use Droptail queue management where packets are dropped on queue overflow. Droptail, however, is known to suffer from the well known global synchronisation problem which is characterised by the phenomenon of alternating periods of empty and full queues and hence bursty losses. Especially in resource constrained networks such as MANETs, packet loss results in increased overhead in terms of energy wasted to forward a packet which was eventually dropped, additional energy required to retransmit this packet and the degraded service quality as experienced by the end user application. Active Queue Management (AQM) has been successfully demonstrated as a solution to the global synchronisation problem in the context of wired networks. However, if AQM is to be deployed in MANETs, it should be lightweight, proactive and easy to implement as mobile networks are resource constrained in terms of memory, processing power and battery life. To the best of our knowledge a study addressing the implications of AQM in mobile networks (MANETs in particular) does not exist. This paper presents a predictive queue management strategy named PAQMAN that proactively manages the queue, is simple to implement and requires negligible computational overhead (and hence uses the limited resources efficiently). The performance of PAQMAN (coupled with Explicit Congestion Notification - ECN)has been compared with Droptail through ns2 simulations. Results from this study show that PAQMAN reduces packet loss ratio (and hence the fraction of retransmissions) while at the same time increasing transmission efficiency. Moreover, as its computational overhead is negligible, it is ideally suited for deployment in MANETs.
Year
DOI
Venue
2006
10.1109/ICNS.2006.37
ICNS
Keywords
Field
DocType
mobile ad-hoc networks,mobile network,full queue,queue overflow,increased overhead,packet loss ratio,packet loss result,global synchronisation problem,droptail queue management,computational overhead,predictive queue management strategy,deploying lightweight queue management,service quality,queueing theory,mobile computing,computer networks,synchronisation,packet loss,engineering management,explicit congestion notification,manet,resource management,queue management,mobile ad hoc network,active queue management,ad hoc networks,mobile ad hoc networks
Mobile computing,Mobile ad hoc network,Computer science,Active queue management,Queue,Packet loss,Computer network,Queueing theory,Queue management system,Distributed computing,Explicit Congestion Notification
Conference
ISBN
Citations 
PageRank 
0-7695-2622-5
3
0.44
References 
Authors
9
7
Name
Order
Citations
PageRank
P. Kulkarni140.80
M. Nazeeruddin261.22
S. McClean330.44
G. Parr430.44
M. Black530.44
B. Scotney6211.75
P. Dini730.44