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A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Cadger, Fraser, Curran, K, Santos, JA and Moffett, Sandra (2011) A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios. In: 12th Annual Post–Graduate Symposium on the convergence of Telecommunications, Networking & Broadcasting (PGNet 2011), John Moores University, Liverpool. PG-Net. 6 pp. [Conference contribution]

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Abstract

The use of mobile devices capable of wireless communications such as mobile phones, PDAs, and laptops in disaster recovery has been an important research topic for several years. However, while the majority of previous research has focused on voice and data communications a small number of researchers have proposed the use of multimedia content in aiding with patient diagnosis. Disaster recovery environments often have no or very limited communications infrastructure which poses a challenge to any communications system and makes the delivery of high-quality multimedia content extremely difficult. In order to ensure high-quality sharing of multimedia content between emergency teams a framework that is resilient, reliable, capable of handling dynamic behavior and able to handle multimedia traffic must be devised. This paper proposes a framework that combines peer-to-peer (p2p) streaming, Quality of Service (QoS) predictions, and geographic routing over WiFi wireless mesh networks to transmit high-quality multimedia content between early response teams in disaster recovery scenarios.

Item Type:Conference contribution (Paper)
Keywords:geographic routing, mesh networks, multimedia streaming, quality of service (QoS), P2P
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Business and Management Research Institute
Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21048
Deposited By:Dr Sandra Moffett
Deposited On:16 Feb 2012 10:25
Last Modified:16 Feb 2012 10:25

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