Computer Networks
Maximal lifetime scheduling for K to 1 sensor-target surveillance networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance analysis of AIMD mechanisms over a multi-state Markovian path
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Distributed visual-target-surveillance system in wireless sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Context-Aware Middleware for Multimedia Services in Heterogeneous Networks
IEEE Intelligent Systems
IEEE Wireless Communications
IEEE Journal on Selected Areas in Communications
Service-Oriented Computing and Cloud Computing: Challenges and Opportunities
IEEE Internet Computing
Mobile Networks and Applications
A Cross-Layer Strategy for Energy-Efficient Reliable Delivery in Wireless Sensor Networks
IEEE Transactions on Wireless Communications
Informationally Decentralized Video Streaming Over Multihop Wireless Networks
IEEE Transactions on Multimedia
Cross-layer design: a survey and the road ahead
IEEE Communications Magazine
Architecture and protocol for intercloud communication
Information Sciences: an International Journal
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Media-aware flow scheduling in cloud computing environment has attracted much attention nowadays because of the new possibilities they bring to many research and industry fields. Particularly, body area networks, as a typical computing environment application in healthcare, allow ubiquitous monitoring of patients, and more thorough patient diagnoses can be done with the help of multimedia service. In this work, we propose a novel media-aware flow scheduling architecture with the aims of improving the multimedia quality and increasing the network's lifetime. In order to avoid interfering with the multimedia applications' delay requirements, this work also proposes to analyze frames delay and jitter. The proposal has proven to improve the multimedia quality and decrease the transmission delay in a controllable manner, and thus the tradeoffs between QoS, lifetime, and delay requirements can be achieved according to the considered scenario. In addition, extensive simulation results validates the efficiency of the proposed method.