Network lifetime optimization for wireless video sensor networks with network coding/ARQ hybrid adaptive error-control scheme

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.