Hybrid Renewable Energy Routing for ISP Networks

被引:0
|
作者
Mineraud, Julien [1 ]
Wang, Liang [2 ]
Balasubramaniam, Sasitharan [3 ]
Kangasharju, Jussi [1 ]
机构
[1] Univ Helsinki, Dept Comp Sci, Helsinki, Finland
[2] Univ Cambridge, Comp Lab, Cambridge CB2 1TN, England
[3] Tampere Univ Technol, Dept Elect & Commun Engn, Tampere, Finland
来源
IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS | 2016年
关键词
renewable energy; wind energy; solar energy; energy-aware routing;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ICT industry has come under criticism as being one of the major energy consumers to exacerbate high global carbon emissions. Meanwhile, using renewable energy to power ICT infrastructure is becoming an attractive solution and is gaining its momentum due to the recent breakthroughs of converting solar and wind energies as power sources at competitive costs. Although significant amounts of fossil fuel based-energy can be saved by allowing network devices (e.g., routers and line-cards) to be set to sleep, this optimization approach comes at a price of degrading routing performance, i.e., the quality of service. This paper addresses the problem of minimizing fossil fuel consumption in large Internet Service Provider (ISP) networks, by utilizing a novel gradient-based routing protocol, which favors forwarding packets along routers powered by the highest quantity of renewable energies. Besides favoring renewable energy, the proposed routing protocol can support putting routers to sleep in order to optimize energy consumption while ensuring a minimum degradation in routing performance. Through our evaluation utilizing real meteorological data, our proposed solution has demonstrated a massive reduction of fossil fuel usage by the network (> 70%) while maintaining the routing performance to a similar level when no energy optimization is applied.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Routing with Renewable Energy Management in Wireless Sensor Networks
    Joao Junior
    Lima, Moyses
    Balico, Leandro
    Pazzi, Richard
    Oliveira, Horacio
    SENSORS, 2021, 21 (13)
  • [2] Optimal Routing and Scheduling in Multihop Wireless Renewable Energy Networks
    Sarkar, Saswati
    Khouzani, M. H. R.
    Kar, Koushik
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (07) : 1792 - 1798
  • [3] Joint Caching and Routing for Greening Computer Networks with Renewable Energy Sources
    Khreishah, Abdallah
    Khalil, Issa
    Gharaibeh, Ammar
    Salameh, Haythem Bany
    Alasem, Rafe
    2014 INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD), 2014, : 101 - 106
  • [4] Impact of Hybrid Renewable Energy Systems on Short Circuit Levels in Distribution Networks
    Afifi, S. N.
    Darwish, M. K.
    2014 49TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2014,
  • [5] Review of software tools for hybrid renewable energy systems
    Sinha, Sunanda
    Chandel, S. S.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 32 : 192 - 205
  • [6] A review on the utilization of hybrid renewable energy
    Guo, Shaopeng
    Liu, Qibin
    Sun, Jie
    Jin, Hongguang
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 91 : 1121 - 1147
  • [7] Performance investigation of an advanced hybrid renewable energy system in indonesia
    Shezan, S. K. A.
    Al-Mamoon, A.
    Ping, H. W.
    ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2018, 37 (04) : 1424 - 1432
  • [8] Optimal Design of Renewable Hybrid Energy System for a village in Ghana
    Addo, Emmanuel Obuobi Kwame
    Asumadu, Johnson
    Okyere, Philip Yaw
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 1520 - +
  • [9] Renewable Energy: Enhancement in the Operation and Design of Hybrid Power Systems
    Mashilo, Tn
    2018 IEEE PES/IAS POWERAFRICA CONFERENCE, 2018, : 852 - 857
  • [10] Renewable Energy Sources Operational Performance Evaluation with Hybrid Model
    Pandey, Rajendra K.
    Kumar, Hemant
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,