TY - GEN
T1 - Redundancy adaptation for multi-path intra-flow network coding in wireless mesh networks
AU - Ageneau, Paul Louis
AU - Wu, Chuchu
AU - Boukhatem, Nadia
AU - Gerla, Mario
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Network coding can significantly enhance throughput and reliability in loss prone wireless networks. Adapting network coding redundancy is critical, since overredundancy wastes network resources and hurts performance and under-estimated redundancy prevents decoding at destination. In this paper, we study the tradeoff between application tolerated loss rate and network overhead introduced by network coding redundancy. We first propose an analytic model that determines a simple redundancy bound to adapt network coding redundancy according to the measured packet loss rate and the targeted maximum application loss rate. Then, we propose a distributed algorithm with adaptive redundancy for reliable data delivery in wireless meshes. In the algorithm, each node opportunistically makes use of multiple paths available in the network to deliver data to the destination. We demonstrate the benefits of our schemes through simulation in various network scenarios.
AB - Network coding can significantly enhance throughput and reliability in loss prone wireless networks. Adapting network coding redundancy is critical, since overredundancy wastes network resources and hurts performance and under-estimated redundancy prevents decoding at destination. In this paper, we study the tradeoff between application tolerated loss rate and network overhead introduced by network coding redundancy. We first propose an analytic model that determines a simple redundancy bound to adapt network coding redundancy according to the measured packet loss rate and the targeted maximum application loss rate. Then, we propose a distributed algorithm with adaptive redundancy for reliable data delivery in wireless meshes. In the algorithm, each node opportunistically makes use of multiple paths available in the network to deliver data to the destination. We demonstrate the benefits of our schemes through simulation in various network scenarios.
U2 - 10.1109/VTCFall.2016.7881193
DO - 10.1109/VTCFall.2016.7881193
M3 - Conference contribution
AN - SCOPUS:85017019476
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016
Y2 - 18 September 2016 through 21 September 2016
ER -