Evaluation of a QoS-Aware Protocol with Adaptive Feedback Scheme for Mobile Ad Hoc Networks (Short Paper)

Castellanos, Wilder E.; Acelas, Patricia; Arce, Pau; Guerri, Juan Carlos

doi:10.1007/978-3-642-10625-5_8

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…Therefore, in order to dynamically adapt the video stream, it is necessary to have a mechanism to estimate the available bandwidth and report to the source video. This article proposes the use of AQA-AODV protocol (Adaptive QoS-Aware Ad-hoc On-demand Distance Vector) [37] for this purpose. AQA-AODV is an inter-layers (cross-layer) solution that enables: estimating the available bandwidth, information exchange between layers (network, transport and application) and the establishment of routes within the MANET.…”

Section: Adaptive Scalable Video Streamingmentioning

confidence: 99%

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Simulation and experimental testbed for adaptive video streaming in ad hoc networks

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This paper presents a performance evaluation of the scalable video streaming over mobile ad hoc networks. In particular, we focus on the rate-adaptive method for streaming scalable video (H.264/SVC). For effective adaptation a new cross-layer routing protocol is introduced. This protocol provides an efficient algorithm for available bandwidth estimation. With this information, the video source adjusts its bit rate during the video transmission according to the network state. We also propose a free simulation framework that supports evaluation studies for scalable video streaming. The simulation experiments performed in this study involve the transmission of SVC streams with Medium Grain Scalability (MGS) as well as temporal scalability over different network scenarios. The results reveal that the rate-adaptive strategy helps avoid or reduce the congestion in MANETs obtaining a better quality in the received videos. Additionally, an actual ad hoc network was implemented using embedded devices (Raspberry Pi) in order to assess the performance of the proposed adaptive transmission mechanism in a real environment. Additional experiments were carried out prior to the implementation with the aim of characterizing the wireless medium and packet loss profile. Finally, the proposed approach shows an important reduction in energy consumption, as the study revealed.

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Section: Adaptive Scalable Video Streamingmentioning

confidence: 99%

“…The third module is the route recovery module, which is responsible for detecting connectivity faults and re-establish routes to the destination, taking into account the conditions of QoS previously established. A preliminary performance evaluation of AQA-AODV during the transmission of data flows over MANETs was presented in[37].…”

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confidence: 99%

Simulation and experimental testbed for adaptive video streaming in ad hoc networks

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“…This value of a allows the algorithm a fast reaction to changes of the network condition. A more detailed analysis of the algorithm for estimating the available bandwidth as well as details about its implementation, can be found in [34].…”

Section: Fig 4 Using Hellos Packets In the Bandwidth Estimation (Amentioning

confidence: 99%

A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks

Castellanos

Guerri

Arce

2016

Computer Communications

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ElsevierCastellanos Hernández, WE.; Guerri Cebollada, JC.; Arce Vila, P. (2016). A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks. ABSTRACTOne of the major challenges for the transmission of time-sensitive data like video over Mobile Ad-Hoc Networks (MANETs) is the deployment of an end-to-end QoS support mechanism. Therefore, several approaches and enhancements have been proposed concerning the routing protocols. In this paper we propose a new QoS routing protocol based on AODV (named AQA-AODV), which creates routes according to application QoS requirements. We have introduced link and path available bandwidth estimation mechanisms and an adaptive scheme that can provide feedback to the source node about the current network state, to allow the application to appropriately adjust the transmission rate. In the same way, we propose a route recovery approach into the AQA-AODV protocol, which provides a mechanism to detect the link failures in a route and re-establish the connections taking into account the conditions of QoS that have been established during the previous route discovery phase. The simulation results reveal performance improvements in terms of packet delay, number of link failures and connection setup latency while we make more efficient use of the available bandwidth than other protocols like AODV and QAODV. In terms of video transmission, the obtained results prove that the combined use of AQA-AODV and the scalable video coding provides an efficient platform for supporting rate-adaptive video streaming.

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“…More detailed information about AQA-AODV can be consulted in the references [36,37]. Best-effort protocols without rate controller, in wired or wireless networks also can be used in our framework.…”

Section: The Svceval-ra Evaluation Frameworkmentioning

confidence: 99%

SVCEval-RA: an evaluation framework for adaptive scalable video streaming

Castellanos

Guerri

Arce

2015

Multimed Tools Appl

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Abstract. Multimedia content adaption strategies are becoming increasingly important for effective video streaming over the actual heterogeneous networks. Thus, evaluation frameworks for adaptive video play an important role in the designing and deploying process of adaptive multimedia streaming systems. This paper describes a novel simulation framework for rate-adaptive video transmission using the Scalable Video Coding standard (H.264/SVC). Our approach uses feedback information about the available bandwidth to allow the video source to select the most suitable combination of SVC layers for the transmission of a video sequence. The proposed solution has been integrated into the network simulator NS-2 in order to support realistic network simulations. To demonstrate the usefulness of the proposed solution we perform a simulation study where a video sequence was transmitted over a three network scenarios. The experimental results show that the Adaptive SVC scheme implemented in our framework provides an efficient alternative that helps to avoid an increase in the network congestion in resource-constrained networks.Improvements in video quality, in terms of PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index) are also obtained.

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Evaluation of a QoS-Aware Protocol with Adaptive Feedback Scheme for Mobile Ad Hoc Networks (Short Paper)

Cited by 6 publications

References 9 publications

Simulation and experimental testbed for adaptive video streaming in ad hoc networks

Simulation and experimental testbed for adaptive video streaming in ad hoc networks

A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks

SVCEval-RA: an evaluation framework for adaptive scalable video streaming

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