TY - JOUR
T1 - Distributed network formation strategy for network coding based wireless networks
AU - Kwon, Minhae
AU - Park, Hyunggon
N1 - Funding Information:
This work was supported in part by the Ministry of Science, ICT and Future Planning (MSIP), South Korea, under the Information Technology Research Center support program (IITP-2016-H8501-16-1007) supervised by the Institute for Information and Communications Technology Promotion, and in part by the National Research Foundation of Korea Grant funded by the Korea Government (MSIP) (No. NRF-2014R1A2A1A11051257).
Publisher Copyright:
© 1994-2012 IEEE.
PY - 2017/4
Y1 - 2017/4
N2 - In this letter, we propose a distributed network formation solution for network coding deployed wireless networks which includes multisource multicast flows. This is an attempt to solve an open problem of network coding based multisource multicast flow design based on a game theoretic approach, which can eventually form a network in a distributed way. The network is in particular constructed by individual decision makings of the nodes, while taking advantages of network coding techniques. The decisions made by the nodes include the transmission powers and the use of network coding operations. In each stage game, nodes update the parameters based on feedbacks such as rewards, penalties, and evaluate their prior actions, which enables the nodes to make best responses in the next stage game. Our simulations confirm that the resulting network can reduce overall power consumption compared to direct transmission, and improve system throughput with less power consumption compared to no coding strategy.
AB - In this letter, we propose a distributed network formation solution for network coding deployed wireless networks which includes multisource multicast flows. This is an attempt to solve an open problem of network coding based multisource multicast flow design based on a game theoretic approach, which can eventually form a network in a distributed way. The network is in particular constructed by individual decision makings of the nodes, while taking advantages of network coding techniques. The decisions made by the nodes include the transmission powers and the use of network coding operations. In each stage game, nodes update the parameters based on feedbacks such as rewards, penalties, and evaluate their prior actions, which enables the nodes to make best responses in the next stage game. Our simulations confirm that the resulting network can reduce overall power consumption compared to direct transmission, and improve system throughput with less power consumption compared to no coding strategy.
KW - Distributed network formation
KW - game theory
KW - network coding
KW - network topology
KW - wireless mesh networks
UR - http://www.scopus.com/inward/record.url?scp=85017656949&partnerID=8YFLogxK
U2 - 10.1109/LSP.2017.2670645
DO - 10.1109/LSP.2017.2670645
M3 - Article
AN - SCOPUS:85017656949
SN - 1070-9908
VL - 24
SP - 432
EP - 436
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 4
M1 - 7858592
ER -