A cross-layer approach for real-time multimedia streaming on wireless peer-to-peer ad hoc network

Kuo, Jun-Li; Shih, Chun–Hsiung; Ho, Cheng-Yuan; Chen, Yaw-Chung

doi:10.1016/j.adhoc.2012.06.008

Cited by 28 publications

(13 citation statements)

References 27 publications

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“…An interesting cross-layer approach for real-time streaming on wireless MANET has been demonstrated by Kuo et al (2013). This approach is titled Cross-Layer Overlay for Multimedia Environment on P2P-MANET (COME-P2P).…”

Section: Novel Approaches For Multimedia Over Wireless Ad Hoc Networkmentioning

confidence: 99%

QoS Routing for Multimedia Communication over Wireless Mobile Ad Hoc Networks

Kanellopoulos

2017

International Journal of Multimedia Data Engineering and Management

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A lot of intensive research has been carried out in the direction of providing multimedia communication over wireless mobile ad hoc network (MANET). In MANET, various QoS problems exist such as inefficient routing, handling node mobility, power conservation, limited processing capabilities of network devices, high error rates. Wireless routing introduces new challenges as applying basic routing algorithms directly on MANET could lead to large power consumption, interference, and load-balancing problems. Many routing algorithms have been proposed as extensions to the basic routing algorithms to enhance their performance in MANETs. This paper summarizes existing solutions on QoS routing and resource reservation mechanisms in order to provide multimedia communication over MANET. It also considers the limitations of existing QoS models with regard to satisfying QoS in serving multimedia over MANET. The newest QoS architectures give much better results in providing QoS support. However, more refinements must be proposed in order to enhance further their performance in MANETs.

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Section: Novel Approaches For Multimedia Over Wireless Ad Hoc Networkmentioning

confidence: 99%

QoS Routing for Multimedia Communication over Wireless Mobile Ad Hoc Networks

Kanellopoulos

2017

International Journal of Multimedia Data Engineering and Management

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“…However, considering that most of classes have not equipped with wireless AP yet, such content sharing can be supported by wireless ad-hoc networking. [4] For example, teacher's device can distribute its contents by broadcasting without any help from wireless AP, and most of students' devices can receive them. To cover the devices located outside of transmission range of the teacher's device, it is required for some students' devices to relay the received contents.…”

Section: Introductionmentioning

confidence: 99%

Learning Based Relay Selection for Reliable Content Distribution in Smart Class Application

Kim¹

2015

KSII TIIS

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As the number of mobile devices such as smart phones and tablets explodes, the need for new services or applications is also rapidly increasing. Smart class application is one of the emerging applications, in which most of contents are distributed to all members of a class simultaneously. It is highly required to select relay nodes to cover shadow area of radio as well as extend coverage, but existing algorithms in a smart class environment suffer from high control packet overhead and delay for exchanging topology information among all pairs of nodes to select relay nodes. In addition, the relay selection procedure should be repeated in order to adapt to the dynamic topology changes caused by link status changes or device's movement. This paper proposes the learning based relay selection algorithm to overcome aforementioned problems. The key idea is that every node keeps track of its relay quality in a fully distributed manner, where RQI (Relay Quality Indicator) is newly defined to measure both the ability of receiving packets from content source and the ability of successfully relaying them to successors. The RQI of each node is updated whenever it receives or relays broadcast packet, and the node having the higher RQI is selected as a relay node in a distributed and run-time manner. Thus, the proposed algorithm not only removes the overhead for obtaining prior knowledge to select relay nodes, but also provides the adaptability to the dynamic topology changes. The network simulation and experimental results prove that the proposed algorithm provides efficient and reliable content distribution to all members in a smart class as well adaptability against network dynamics.

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“…For example, various cross-layer routing protocols are proposed to increase packet delivery ratio [1], to run P2P streaming more efficiently [2], or to provide energy savings [3]. Existing cross-layer approaches mainly focus on satisfying a specific requirement of an application considering dynamic network conditions.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer network parameterization for application-aware networking in wireless ad-hoc networks

Shin

Abdullayev

Lee

2014

Proceedings of the Ninth International Conference on Future Internet Technologies

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Cross-layer networking is a promising approach which provides an optimal routing solution for achieving the goal of a target application. However, existing cross-layer networking approaches mostly support only a specific application type and do not fully satisfy other application types because each application has distinguished network requirements. In this paper, we propose a paradigm that several network parameters in routing and MAC layers dynamically adapt to various applications by understanding their requirements. To achieve the paradigm, we propose a joint routing and MAC parameterization scheme which adapts to application requirements and changing network conditions.

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A cross-layer approach for real-time multimedia streaming on wireless peer-to-peer ad hoc network

Cited by 28 publications

References 27 publications

QoS Routing for Multimedia Communication over Wireless Mobile Ad Hoc Networks

QoS Routing for Multimedia Communication over Wireless Mobile Ad Hoc Networks

Learning Based Relay Selection for Reliable Content Distribution in Smart Class Application

Cross-layer network parameterization for application-aware networking in wireless ad-hoc networks

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