id: 06024439
dt: j
an: 06024439
au: Tan, Chong; Zou, Junni; Wang, Min; Zhang, Ruifeng
ti: Network lifetime optimization for wireless video sensor networks with
    network coding/ARQ hybrid adaptive error-control scheme.
so: Comput. Netw. 55, No. 9, 2126-2137 (2011).
py: 2011
pu: Elsevier Science (North-Holland), Amsterdam
la: EN
cc: 
ut: wireless video sensor network; network lifetime; power consumption; network
    coding; convex optimization
ci: 
li: doi:10.1016/j.comnet.2011.02.014
ab: Summary: 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.
rv: