TY - GEN
T1 - A game-Theoretical green networking approach for information-centric networks
AU - Nguyen, Quang N.
AU - Yu, Keping
AU - Sato, Takuro
AU - Arifuzzaman, Mohammad
N1 - Funding Information:
ACKNOWLEDGMENT This paper has been supported by 5G! Pagoda project, which is funded by European Commission’s H2020 program under grant agreement No.723172 and by SCOPE project of MIC of Japan. Also, this work was supported by the EU-JAPAN Green ICN project initiative by EC Seventh Frame-work Programme Grant Agreement No.608518 and NICT Contract No. 167.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/27
Y1 - 2017/10/27
N2 - In order to address the energy issue and enhance the feasibility of Information-Centric Networking (ICN) in the case of access networks, this research proposes a novel Green ICN design which can adapt power consumption of network devices to their optimized real-Time link-utilizations based on content popularity levels. We utilize dynamic ALR (Adaptive Link Rate) based scheme for content nodes to provide efficient content delivery as a realistic approach for the economically viable green network We also develop a game-Theoretical model to study the interaction between an ISP and a network equipment company in the context of green networking. Specifically, we present the system concept and some demonstration results of game-based Green ICN model to analyze the economic incentives of players. Moreover, we discuss ICN deployment and standardization challenges, then show that the proposal is robust, easy to deploy and practically relevant for the network players.
AB - In order to address the energy issue and enhance the feasibility of Information-Centric Networking (ICN) in the case of access networks, this research proposes a novel Green ICN design which can adapt power consumption of network devices to their optimized real-Time link-utilizations based on content popularity levels. We utilize dynamic ALR (Adaptive Link Rate) based scheme for content nodes to provide efficient content delivery as a realistic approach for the economically viable green network We also develop a game-Theoretical model to study the interaction between an ISP and a network equipment company in the context of green networking. Specifically, we present the system concept and some demonstration results of game-based Green ICN model to analyze the economic incentives of players. Moreover, we discuss ICN deployment and standardization challenges, then show that the proposal is robust, easy to deploy and practically relevant for the network players.
KW - Adaptive Link Rate (ALR)
KW - Future Internet (FI)
KW - Game theory
KW - Green Networking
KW - Information-Centric Networking (ICN)
KW - standardization
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U2 - 10.1109/CSCN.2017.8088611
DO - 10.1109/CSCN.2017.8088611
M3 - Conference contribution
AN - SCOPUS:85040178977
T3 - 2017 IEEE Conference on Standards for Communications and Networking, CSCN 2017
SP - 132
EP - 137
BT - 2017 IEEE Conference on Standards for Communications and Networking, CSCN 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Conference on Standards for Communications and Networking, CSCN 2017
Y2 - 18 September 2017 through 20 September 2017
ER -