TY - GEN
T1 - Forepressure transmission control for wireless video sensor networks
AU - Luo, Chong
AU - Pu, Wei
AU - Chen, Chang Wen
AU - Sun, Jun
AU - Wu, Feng
PY - 2009
Y1 - 2009
N2 - Multi-source data transmission in wireless video sensor networks is a challenging problem because of the high bandwidth demand of video streams and the many-to-one traffic pattern. This paper proposes forepressure transmission control for efficient and fair video transmission in this scenario. Contrary to traditional backpressure transmission control where downstream node creates backpressure and causes upstream node to hold off when its buffer is full, forepressure transmission control creates forepressure and signals upstream node to transmit when the downstream node's buffer is not full. Forepressure transmission control proactively avoids congestion at little communication overhead. In addition, it is able to provide fairness among concurrent flows. We evaluate forepressure transmission control via NS-2 simulations, and compare it with both backpressure congestion control and end-to-end rate regulation. Results in three typical topologies show that forepressure transmission control achieves much lower loss ratio and ensures better fairness than the other two schemes.
AB - Multi-source data transmission in wireless video sensor networks is a challenging problem because of the high bandwidth demand of video streams and the many-to-one traffic pattern. This paper proposes forepressure transmission control for efficient and fair video transmission in this scenario. Contrary to traditional backpressure transmission control where downstream node creates backpressure and causes upstream node to hold off when its buffer is full, forepressure transmission control creates forepressure and signals upstream node to transmit when the downstream node's buffer is not full. Forepressure transmission control proactively avoids congestion at little communication overhead. In addition, it is able to provide fairness among concurrent flows. We evaluate forepressure transmission control via NS-2 simulations, and compare it with both backpressure congestion control and end-to-end rate regulation. Results in three typical topologies show that forepressure transmission control achieves much lower loss ratio and ensures better fairness than the other two schemes.
KW - Fair rate allocation
KW - Hop-by-hop control
KW - Video transmission
KW - Wireless sensor network
UR - https://www.scopus.com/pages/publications/70449574089
U2 - 10.1109/SAHCN.2009.5168936
DO - 10.1109/SAHCN.2009.5168936
M3 - Conference contribution
AN - SCOPUS:70449574089
SN - 9781424429080
T3 - 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
BT - 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
T2 - 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
Y2 - 22 June 2009 through 26 June 2009
ER -