Supporting Scalable Video Transmission in MANETs through Distributed Admission Control Mechanisms

Abstract

Abstract-Emerging multimedia applications over mobile devices are becoming very popular, especially over infrastructure wireless networks such as cellular and WLANs. However, providing this kind of services over infrastructureless networks like ad hoc networks presents many additional problems. One of these problems is how to share resources fairly among the users involved. In this article we propose a QoS framework supporting scalable video streaming in mobile ad hoc networks based on distributed admission control and video traffic awareness. Our framework promotes fairness between video flows in terms of resource consumption. It also guarantees a significant reduction of the idle times experienced by users during periods of network saturation, thus increasing the video playout time in reception for all users. Using the IEEE 802.11e MAC technology as our basis for traffic differentiation, our framework, called DACME-SV (Distributed Admission Control for MANET's -Scalable Video), relies on a periodic probing process to measure the available bandwidth and the end-to-end delay on the path. DACME-SV adopts a cross-layer approach to determine the optimum number of video layers to transmit at any given time, thus avoiding network congestion and guaranteeing an acceptable video quality at the destination. Experimental results show that idle time periods are substantially decreased, while exhibiting a good overall performance in terms of throughput and delay.

Peer selection and scheduling of H.264 SVC video over wireless networks

“…Authors in [6] propose a distributed admission control scheme to fairly allocate resources among competing SVC flows in a mobile ad hoc network. Each end-to-end path is periodically probed in order to derive bandwidth estimations.…”

Assessing the best strategy to improve the stability of scalable video transmission in MANETs

“…ORIGINAL DACME-SV: OVERVIEW DACME-SV [6] is an extension to the original DACME framework [11] endowing it with scalable video awareness. The main goal of DACME-SV was allowing to dynamically adjust the number of layers transmitted according to end-to-end bandwidth availability.…”

“…Upon receiving these specifications, DACME-SV sources acquire end-to-end path information in terms of bandwidth availability to decide how many video layers can be transmitted over the network without congesting it, thus guaranteeing that traffic will not exceed the network's capacity; if the path's characteristics improve, or if, on the contrary, they become worse, DACME-SV will automatically adapt to such network variability. DACME-SV [6] relies on probing packets to test the bandwidth availability on an end-to-end path. As shown in [11], this method is highly accurate.…”

“…Although the original DACME-SV algorithm shows a good performance [6], there are still some issues that can be improved to have a better overall framework performance. In particular, the items that offer room for improvement are: (i) compliance with maximum delay requirements, (ii) fairness in terms of the quality experienced by the different users, and (iii) idle time periods, which should be reduced to a minimum to avoid user annoyance.…”

“…Therefore, new techniques must be adopted to offer acceptable QoS levels to video traffic. DACME-SV (Distributed Admission Control for MANETs Environments -Scalable Video) [6], is a QoS framework supporting scalable video streaming in mobile ad hoc networks based on distributed admission control and video traffic awareness. It relies on a periodic probing process to measure the available bandwidth and the end-to-end delay on the path.…”