Survey of cross-layer proposals for video streaming over Mobile Ad hoc Networks (MANETs)

Mantzouratos, Spyros; Gardikis, Georgios; Koumaras, Harilaos; Kourtis, Anastasios

doi:10.1109/temu.2012.6294698

Cited by 21 publications

(19 citation statements)

References 17 publications

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“…비디오 전송 서비스는 다른 인터넷 서비스에 비해 높은 수준의 자원(CPU, memory, network bandwidth)을 필요 로 한다는 점이 서비스 확산의 큰 걸림돌이었다. 최근 고 사양의 단말과 무선 전송 기술(IEEE 802.11n, LTE)이 확산됨에 따라 인터넷을 통한 비디오 전송 서비스가 인기 를 얻고 비디오 컨퍼런싱, 비디오 스트리밍, 관제 등에 널 리 이용되고 있다 [3] . 일반적인 인터넷의 상황과 달리 MANET은 이질적인 단말로 구성되며 단말의 상태가 가변적일 수밖에 없기 때 문에 안정적인 트래픽 전송을 보장하기 까다로운 특성이 나타나게 된다.…”

Section: 한국시뮬레이션학회 논문지unclassified

“…일반적인 인터넷의 상황과 달리 MANET은 이질적인 단말로 구성되며 단말의 상태가 가변적일 수밖에 없기 때 문에 안정적인 트래픽 전송을 보장하기 까다로운 특성이 나타나게 된다. 이러한 문제점을 극복하고 MANET에서 비디오 전송 서비스를 구현하기 위해 cross-layer design 연구가 다수 수행되고 있다 [2,3] . 일반적으로 통신 네트워 크는 OSI 7계층, 인터넷 5계층 등 프로토콜 스택으로 구 성되어 있고, 상호 인접한 계층 간의 인터페이스를 통해 통신 기능을 구현한다.…”

Section: 한국시뮬레이션학회 논문지unclassified

“…MANET의 성능을 향상하기 위해 단일 계층만을 최적화 대상으로 함 [4] , 2) cross-layer 연구를 활용하더라도 일부 계층만을 포함함 [3] , 3) 비디오 서비스 성능을 평가하기 위 해 화소 기반 비디오 품질 지표를 사용함 [5] , 등을 들 수 있다. 본 연구에서는 이러한 문제점을 보완하기 위하여 물리계층, 링크 계층, 네트워크/전송 계층을 포함한 기존 의 cross-layer design에 어플리케이션 계층까지 포함한 확장된 cross-layer design을 다루고자 한다.…”

Section: 한국시뮬레이션학회 논문지unclassified

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Cross-layer Simulation and Analysis for Video Transmission Quality in MANET

Yoon¹

2015

Journal of the Korea Society for Simulation

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Mobile ad hoc networks (MANETs) are self-organized dynamic networks populated by mobile nodes. This paper presents the improved cross-layer approach to complement the recent works for video transmission services on MANET. We use a statistical design of experiment and analysis in order to investigate interactions between major factors of each layer effectively with minimizing ns-3 simulation run time. The proposed cross-layer approach considers MANET protocol layers (i.e., physical, network and transmission layers) and an application layer (i.e., a video encoder) as factors simultaneously. In addition, the approach defines an objective video quality metric as a response variable. The result of this paper can be applicable as a preliminary research to design an optimized video transmission application which has ability to adjust controllable factors to dynamic uncontrollable factors.

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Section: 한국시뮬레이션학회 논문지unclassified

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Cross-layer Simulation and Analysis for Video Transmission Quality in MANET

Yoon¹

2015

Journal of the Korea Society for Simulation

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“…RELATED WORK Video transmission has long been an important research topic in wireless communication networks [14], [19], and there have existed a significant amount of work addressing the video transmission problem utilizing cross-layer design approach in wireless networks [7], [9]- [12], [14]- [18], [20]- [29]. Readers are referred to [14], [15], [30], [31], and references therein for comprehensive surveys of this area.…”

Section: Introductionmentioning

confidence: 99%

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Tian

Zhang

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

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Cross-layer communication could bring significant performance improvement for wireless communication systems through allowing information exchanges among multiple layers. For delay-sensitive video application, cross-layer optimization could be more critical by jointly considering network resource allocation and application performance requirement, especially in an interference-limited distributed network. To improve the quality of video transmission over an ad-hoc network, this paper proposes a cross-layer scheme to maximize the average received video quality by jointly considering the application performance and network transmission strategy. In this scheme, important system parameters including the distribution of the node and the resulting interference, link transmission policy, queueing delay as well as the video encoding rate are jointly considered to achieve the best received video quality. To this end, a thresholdbased transmission strategy and an interference approximation model are firstly developed. Then, the queueing delay is analyzed based on the M/M/1 queue model. Finally, the problem of maximizing video transmission quality is formulated as a crosslayer optimization problem. To solve this optimization problem, a distributed algorithm is proposed based on the optimization theory and game theory. The convergence performance of this distributed algorithm is analyzed and shown with relatively lower complexity through simulation. Furthermore, both numerical and simulation results show that the proposed scheme improves the system performance considerably based on the comparison with other two existing schemes.

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“…Cross-layer rate-control strategies are effective for ensuring there is a stable data transmission for managing and overcoming the fluctuation in wireless links [1, 2, & 3]. More than 40 algorithms have been proposed that use a crosslayer rate-control scheme for video transmissions [4] and there have been positive results from using the specific network model assumed in each of the reports. All of these ideas are creative and suggest directions for future research, and their effectiveness is clear based on the limited models considered in each study.…”

Section: Introductionmentioning

confidence: 99%

Reference equipment of cross-layer control for live video transmission on various physical links

Shuhei

Kurozumi

Endo

2015

2015 IEEE 40th Conference on Local Computer Networks (LCN)

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The purpose of this study is to verify our live video transmission specifications in a real environment. We implemented a high-definition video transmitter that adjusts the video encoding rate according to the physical link status using a cross-layer rate control scheme. The transmitter will be used as reference equipment to practically evaluate the many simulated algorithms, because rate-control algorithms can be implemented in software regardless of the kind of physical layer. First, we explain the transmitter architecture, and then, report on our evaluation of the effectiveness of our cross-layer rate-control algorithm in comparison with a single application layer ratecontrol algorithm. We verified our algorithm can more quickly and accurately follow the link status than the single application layer rate-control algorithm using the implemented transmitter. Furthermore, we introduce an example in which the equipment can be easily used for other physical links because the reference equipment architecture abstracts the physical layer.

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Survey of cross-layer proposals for video streaming over Mobile Ad hoc Networks (MANETs)

Cited by 21 publications

References 17 publications

Cross-layer Simulation and Analysis for Video Transmission Quality in MANET

Cross-layer Simulation and Analysis for Video Transmission Quality in MANET

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Reference equipment of cross-layer control for live video transmission on various physical links

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