Title :
Queue Management in Mobile Adhoc Networks (Manets)
Author :
Kumar, Dinesh K. ; Ramya, I. ; Masillamani, Roberts M.
Author_Institution :
Sch. of Comput. Sci. & Eng., Hindustan Inst. of Technol. & Sci., Chennai, India
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 use Drop tail queue management where packets are dropped on queue overflow which is global synchronization problem. Especially in MANETs, packet loss results in increased overhead in terms of energy wasted to forward a packet which was dropped, additional energy required to retransmit this packet. Active Queue Management (AQM) has been a solution to the global synchronization problem in 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. This paper presents a predictive queue management strategy named PAQMAN that proactively manages the queue, is simple to implement and requires negligible computational overhead. The performance of PAQMAN has been compared with Drop tail and those results show that PAQMAN reduces packet loss ratio while at the same time increasing transmission efficiency.
Keywords :
mobile ad hoc networks; queueing theory; synchronisation; telecommunication congestion control; telecommunication network management; MANET; PAQMAN strategy; active queue management; battery life; computational overhead; drop tail queue management; global synchronization; mobile adhoc network; network based congestion avoidance; network device; packet loss ratio; packet retransmission; predictive queue management; processing power; queue overflow; transmission efficiency; Ad hoc networks; Mobile communication; Mobile computing; Prediction algorithms; Propagation losses; Queueing analysis; Silicon; Active Queue Management; MANET; PAQMAN; Queue occupancy;
Conference_Titel :
Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9779-9
Electronic_ISBN :
978-0-7695-4331-4
DOI :
10.1109/GreenCom-CPSCom.2010.105