On the Interaction Between IEEE 802.11e and Routing Protocols in Mobile Ad-Hoc Networks

Calafate, Carlos T.; Manzoni, Pietro; Malumbres, Manuel P.

doi:10.1109/empdp.2005.27

Cited by 14 publications

(13 citation statements)

References 15 publications

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“…These results are in accordance with the analysis we performed in [2] relatively to the interaction between traffic and reactive routing protocols.…”

Section: Performance In a Typical Manet Environmentsupporting

confidence: 82%

Using distributed admission control to support multimedia applications in MANET environments

Calafate

Manzoni

Malumbres

31st EUROMICRO Conference on Software Engineering and Advanced Applications

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“…These results are in accordance with the analysis we performed in [2] relatively to the interaction between traffic and reactive routing protocols.…”

Section: Performance In a Typical Manet Environmentsupporting

confidence: 82%

Using distributed admission control to support multimedia applications in MANET environments

Calafate

Manzoni

Malumbres

31st EUROMICRO Conference on Software Engineering and Advanced Applications

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“…The routing traffic of the AODV protocol was set to a higher priority (AC VO) according to the recommendations in annex E of the IEEE 802.11 standard [1]. Besides being the recommended procedure, it will also improve the overall network performance (see [6] for details).…”

Section: Methodsmentioning

confidence: 99%

ns-2 vs. OPNET: a comparative study of the IEEE 802.11e technology on MANET environments

Garrido¹,

Malumbres²,

Calafate³

2008

Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Syste

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In this work we present the results of a comparative study between two well-known network simulators: ns-2 and OP-NET Modeler. In particular, we focus on a performance evaluation of the IEEE 802.11e technology on Mobile Ad-hoc Networks (MANETs) in both stationary and mobile scenarios. The paper describes the tested scenarios in detail, and discusses simulation results obtained with OPNET Modeler, comparing them with those obtained with ns-2. The performance of IEEE 802.11e in the presence of legacy IEEE 802.11 stations is also analyzed. Due to the significant differences between both simulators, we enumerate those changes required so as to make results obtained via both simulators comparable. The results that have been reached support the conclusion that the behavior of both simulators is quite similar in general.

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“…EDCF enables traffic balancing offering transmission opportunities to all nodes in the network. C. T. Calafate et al [15] observed considerable improvements in terms of throughput and normalized routing overhead to the increased routing responsiveness due to IEEE 802.11e. They observed that employing IEEE 802.11e improved performance of multimedia traffic and routing efficiency.…”

Section: Related Workmentioning

confidence: 99%

Quality of Service Issues for Reinforcement Learning Based Routing Algorithm for Ad-Hoc Networks

Kulkarni¹,

Rao²

2012

CIT

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Mobile ad-hoc networks are dynamic networks which are decentralized and autonomous in nature. Many routing algorithms have been proposed for these dynamic networks. It is an important problem to model Quality of Service requirements on these types of algorithms which traditionally have certain limitations. To model this scenario we have considered a reinforcement learning algorithm SAMPLE. SAMPLE promises to deal effectively with congestion and under high traffic load. As it is natural for ad-hoc networks to move in groups, we have considered the various group mobility models. The Pursue Mobility Model with its superior mobility metrics exhibits better performance. At the data link layer we have considered IEEE 802.11e, a MAC layer which has provisions to support QoS. As mobile ad-hoc networks are constrained by resources like energy and bandwidth, it is imperative for them to cooperate in a reasonably selfish manner. Thus, in this paper we propose cooperation with a moderately punishing algorithm based on game theory. The proposed algorithm in synchronization with SAMPLE yields better results on IEEE 802.11e.

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On the Interaction Between IEEE 802.11e and Routing Protocols in Mobile Ad-Hoc Networks

Abstract: Abstract

Cited by 14 publications

References 15 publications

Using distributed admission control to support multimedia applications in MANET environments

Using distributed admission control to support multimedia applications in MANET environments

ns-2 vs. OPNET: a comparative study of the IEEE 802.11e technology on MANET environments

Quality of Service Issues for Reinforcement Learning Based Routing Algorithm for Ad-Hoc Networks

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