The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures
Abstract
The concept of energy-efficient networking has begun to spread in the past few years, gaining increasing popularity. Besides the widespread sensitivity to ecological issues, such interest also stems from economic needs, since both energy costs and electrical requirements of telcos' and Internet Service Providers' infrastructures around the world show a continuously growing trend. In this respect, a common opinion among networking researchers is that the sole introduction of low consumption silicon technologies may not be enough to effectively curb energy requirements. Thus, for disruptively boosting the network energy efficiency, these hardware enhancements must be integrated with ad-hoc mechanisms that explicitly manage energy saving, by exploiting network-specific features. This paper aims at providing a twofold contribution to green networking. At first, we explore current perspectives in power consumption for next generation networks. Secondly, we provide a detailed survey on emerging technologies, projects, and work-in-progress standards, which can be adopted in networks and related infrastructures in order to reduce their carbon footprint. The considered approaches range from energy saving techniques for networked hosts, to technologies and mechanisms for designing next-generation and energy-aware networks and networking equipment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Park, C. (1997) · Cited by 1,829
Gupta, M., & Singh, S. (2003) · Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/863955.863959 · Cited by 866
Power Awareness in Network Design and Routing
Chabarek, J., Sommers, J., Barford, P., Estan, C., Tsiang, D., & Wright, S. (2008) · IEEE INFOCOM 2008 - The 27th Conference on Computer Communications · doi:10.1109/infocom.2008.93 · Cited by 702
Reducing Network Energy Consumption via Sleeping and Rate-Adaptation
Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S., & Wetherall, D. J. (2008) · Cited by 661
Policy optimization for dynamic power management
Benini, L., Bogliolo, A., Paleologo, G. A., & De Micheli, G. (1999) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/43.766730 · Cited by 433
Srivastava, M. B., Chandrakasan, A. P., & Brodersen, R. W. (1996) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/92.486080 · Cited by 427
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
Gunaratne, C., Christensen, K. J., Bruce Nordman, B., & Suen, S. (2008) · IEEE Transactions on Computers · doi:10.1109/tc.2007.70836 · Cited by 414
A 30 Year Retrospective on Dennard's MOSFET Scaling Paper
Bohr, M. (2007) · IEEE Solid-State Circuits Newsletter · doi:10.1109/n-ssc.2007.4785534 · Cited by 314
A survey on power control issues in wireless sensor networks
Pantazis, N. A., & Vergados, D. D. (2007) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2007.4444752 · Cited by 287
Gunaratne, C., Christensen, K., & Nordman, B. (2005) · International Journal of Network Management · doi:10.1002/nem.565 · Cited by 287
Cited by
Next generation 5G wireless networks: a comprehensive survey
Agiwal, M., Roy, A., & Saxena, N. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2532458 · Cited by 3,444
Szymanski, T. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169137 · Cited by 59
Metadata
- Authors
- Bolla, R., Bruschi, R., Davoli, F., & Cucchietti, F.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2011
- Volume
- 13
- Issue
- 2
- Pages
- 223-244
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2168780914
- Cited by
- 710
- References
- 30
- FWCI
- 54.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures. https://app.cochat.ai/papers/10.1109/surv.2011.071410.00073
- The paper
- Bolla, R., Bruschi, R., Davoli, F., & Cucchietti, F. (2011). Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2011.071410.00073
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.