Cross-Layer QoS Control for Video Communications over Wireless Ad Hoc Networks

Abstract

Assuming a wireless ad hoc network consisting of n homogeneous video users with each of them also serving as a possible relay node for other users, we propose a cross-layer rate-control scheme based on an analytical study of how the effective video transmission rate is affected by the prevailing operating parameters, such as the interference environment, the number of transmission hops to a destination, and the packet loss rate. Furthermore, in order to provide error-resilient video delivery over such wireless ad hoc networks, a cross-layer joint source-channel coding (JSCC) approach, to be used in conjunction with rate-control, is proposed and investigated. This approach attempts to optimally apply the appropriate channel coding rate given the constraints imposed by the effective transmission rate obtained from the proposed rate-control scheme, the allowable real-time video play-out delay, and the prevailing channel conditions. Simulation results are provided which demonstrate the effectiveness of the proposed cross-layer combined rate-control and JSCC approach.

A hybrid multi-path routing algorithm for industrial wireless mesh networks

“…) and the key of u is modified accordingly (lines [9][10][11][12][13][14]. This algorithm is performed repeatedly until the heap is empty.…”

“…The CPN algorithm is a fast, adaptive routing algorithm that uses smart packets for QoS-based path finding to minimize power consumption. QoS-aware multi-path routing algorithms have also been proposed in [11][12][13], in which QoS routing problems are formulated as different optimization problems (e.g., video quality and energy awareness). However, meeting QoS requirements in WSNs introduces certain overhead to routing protocols in terms of energy consumption, intensive computations, and significantly large storage.…”

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

“…Many studies, e.g. (Goldsmith & Wicker, 2002;Huusko et al, 2007;Lamy-Bergot et al, 2010;Qu et al, 2005;Setton et al, 2005), on wireless networks show that a cross-layer design can significantly improve the system performance. A cross-layer approach seeks to enhance the performance of a system by breaking the independence of the layers by jointly designing multiple protocol layers.…”

Cross-Layer Rate Allocation for Multimedia Applications in Pervasive Computing Environment

“…We define R A1 = {ρ l : In general, all the video and audio sources should be compressed conveniently for transmission and storage; however, this leads to information loss. According to [9], the distortion caused by source compression can be approximated by:…”

“…In a bandwidth-limited network, this combined loss rate can be further modeled based on the M/M/1 queuing model. In this case, the delay distribution of packets over a single link is exponential [9]. Note that, since the end-to-end delay of packet delivery in wireless network is dominated by the queuing delay at the bottleneck link, the empirical delay distribution for realistic traffic patterns can still be modeled by an exponential formulation function:…”