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678 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 19, NO. 5, MAY 2009 QoS Support in MANETs: A Modular Architecture Based on the IEEE 802.11e Technology C. T. Calafate, M. P. Malumbres, Member, IEEE, J. Oliver, J. C. Cano, and P. Manzoni, Member, IEEE Abstract —Providing quality-of-service (QoS) in wireless ad hoc networks is an intrinsically complex task due to node mobility, distributed channel access, and fading radio signal effects. This goal can be successfully accomplished only through the cooperation of the different protocol layers involved. In this paper we propose a novel QoS architecture that is able to support applications with the bandwidth, delay, and jitter requirements in MANET environments. The proposed architecture is modular, allowing the plugging in of different protocols, which offers great Fexibility. Despite its modularity, we propose optimizations based on interactions between the media access control (MAC), routing, and admission control layers which offer important performance improvements. We validate our proposal in scenarios where different network loads, node mobility degrees, and routing algorithms are tested in order to quantify the bene±ts offered by our QoS proposal. In particular, we have also used real H.264/AVC video traces to simulate video sources in order to measure the quality in terms of peak signal to noise ratio of the received video, so that the bene±ts of applying our QoS scheme to video sources can be assessed in terms of user satisfaction (from the applications perspective). Index Terms —Cross-layer optimization, distributed admission control, QoS architecture for MANETs. I. INTRODUCTION M OBILE AD HOC NETWORKS, which are also known as MANETs, are composed of independent mobile ter- minals that communicate wirelessly to conform to a network. All nodes within an ad hoc network provide a peer-level multihop routing service where all nodes simultaneously act as both traf±c sources/sinks and as traf±c forwarders. Research in the ad hoc networking ±eld has received much attention recently because these networks offer many bene±ts, such as self-recon±guration and adaptation to highly variable characteristics—power and transmission conditions, network topology and traf±c load—without requiring a ±xed infrastructure. When attempting to enhance these networks to support applications with quality-of-service (QoS) requirements, we ±nd that there is still more research to Manuscript received October 24, 2007; revised July 21, 2008. First version published March 16, 2009; current version published June 10, 2009. This work was partially supported by the Ministerio de Educación y Ciencia , Spain, under grants TIN2005-07705-C02-01 and DPI2007-66796-C03-03, and the Universidad Politècnica de Valencia under programme PAID-06-07. This paper was recommended by Associate Editor W. Zhu.
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This note was uploaded on 11/30/2011 for the course CIS 6930 taught by Professor Staff during the Fall '08 term at University of Florida.

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