Q. N. Nguyen, R. Ullah, B.-S. Kim, R. Hassan, T. Sato and T. Taleb, "A Cross-Layer Green Information-Centric Networking Design Toward the Energy Internet," in IEEE Transactions on Network Science and Engineering, vol. 9, no. 3, pp. 1577-1593, 1 May-June 2022, doi: 10.1109/TNSE.2022.3148146
A cross-layer green information-centric networking design toward the energy internet
|Author:||Nguyen, Quang Ngoc1,2; Ullah, Rehmat3; Kim, Byung-Seo4;|
1Department of Communications and Computer Engineering, Waseda University, Shinjuku-ku, Tokyo, Japan
2Posts and Telecommunications Institute of Technology, Hanoi, Vietnam
3School of Electronics, Electrical Engineering and Computer Science, Queen's University, Belfast, U.K.
4Department of Software and Communications Engineering, Hongik University, Seoul, South Korea
5Network and Communication Technology Lab, Centre for Cyber Security,Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
6Center for Wireless Communications, University of Oulu, Oulu, Finland
7Sejong University, Seoul, South Korea
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231017140465
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-10-17
To address the energy-efficiency issue in Information-Centric Networking (ICN), this article proposes a novel Green ICN design, which adapts the power consumption of network nodes to the optimized utilization level proportionally. By learning over the consumers’ interactive data traffic pattern/behavior, we introduce a new concept of cross-layer power adaption conducted through dynamically adjusting link rate corresponding to content popularity to reduce the wasteful power consumption of Content Routers (CRs). We also develop a controlling policy for each content provider to map its status to the most suitable operating mode to diminish power consumption. Moreover, we propose a smart Selective Caching Scheme (SCS) so that the caching portion in a CR’s cache memory is adjusted according to content popularity and available spaces of two customized content cache spaces, namely hot and cold caching queues, for storing popular and unpopular content objects. This scheme can further decrease the power from caching since it is diminished when the traffic load is reduced via the proposed CRs’ adaptive mechanism. The evaluation results with practical insights in several distinct scenarios show that the proposal can provide considerably higher energy efficiency and network performance at the same time, typically achieving at least 20% power-saving with a higher hop reduction ratio, compared to existing Internet designs with relevant state-of-the-art caching strategies.
IEEE transactions on network science and engineering
|Pages:||1577 - 1593|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by 5G Pagoda Project funded by the European Commission’s H2020 Program under Grant 723172, in part by Fujitsu-Waseda Digital Annealer FWDA Program (Joint Research between Waseda University and Fujitsu Laboratory), in part by National Research Foundation (NRF), Korea under Project BK21 FOUR, in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) under Grant 2021R1F1A105089311, in part by the Academy of Finland Projects: 6Genesis under Grant 318927, and in part by the IDEA-MILL with under Grant 335936. This paper was also granted under Dana Impak Perdana UKM DIP-2018-040 and Fundamental Research GrantScheme FRGS/1/2018/TK04/UKM/02/7.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
335936 (Academy of Finland Funding decision)
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