PfHSN '96 Proceedings of the TC6 WG6.1/6.4 Fifth International Workshop on Protocols for High-Speed Networks V
Convex Optimization
Network-Supported Layered Multicast Transport Control for Streaming Media
IEEE Transactions on Parallel and Distributed Systems
Optimized Multipath Network Coding in Lossy Wireless Networks
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Lifetime Maximization Based on Coverage and Connectivity in Wireless Sensor Networks
Journal of Signal Processing Systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Improving network lifetime with mobile wireless sensor networks
Computer Communications
Network lifetime maximization with cross-layer design in wireless sensor networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Full length article: On coding for reliable communication over packet networks
Physical Communication
Power-rate-distortion analysis for wireless video communication under energy constraints
IEEE Transactions on Circuits and Systems for Video Technology
Resource allocation and performance analysis of wireless video sensors
IEEE Transactions on Circuits and Systems for Video Technology
An unequal error protection mechanism for video streaming over IEEE 802.11e WLANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
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This paper addresses the performance optimization of network lifetime and resource allocation for wireless video sensor networks. Network flow control and video encoding bit rate are jointly optimized, aiming to maximize the network lifetime at a given power budget and video quality requirement. We develop a generalized power consumption model for video sensors, in which video encoding, data communication and error-control behavior are completely considered. To combat packet loss over wireless channels, a hybrid error-control scheme integrating network coding and ARQ protocol is introduced. It adaptively adjusts the number of redundant coded packets according to ARQ feedbacks with a fixed code structure and decoding algorithm. Through the Lagrange dual and subgradient approach, a fully decentralized algorithm is proposed to solve the target convex problem. Finally, simulation results validate the convergence and performance of the proposed algorithm in a large-scale random topology as well as in a small static network.