Cited by 805Energy Harvesting in Wireless NetworksInnovative Energy Harvesting TechnologiesAge of Information Optimization

Energy Harvesting Wireless Communications: A Review of Recent Advances

Open access
Ulukus, Sennur, Yener, Aylin, Erkip, Elza, Simeone, Osvaldo, Zorzi, Michele, Grover, Pulkit, Huang, Kaibin·2015·IEEE Journal on Selected Areas in Communications

Abstract

This paper summarizes recent contributions in the broad area of energy harvesting wireless communications. In particular, we provide the current state of the art for wireless networks composed of energy harvesting nodes, starting from the information-theoretic performance limits to transmission scheduling policies and resource allocation, medium access, and networking issues. The emerging related area of energy transfer for self-sustaining energy harvesting wireless networks is considered in detail covering both energy cooperation aspects and simultaneous energy and information transfer. Various potential models with energy harvesting nodes at different network scales are reviewed, as well as models for energy consumption at the nodes.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/jsac.2015.2391531

Cites

126 of 126 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Energy harvesting methodologies can harvest energy from ambient radios, micro-vibrations, and sunlight.

    “To achieve a long battery life, various energy harvesting methodologies would be applied in 6G, which not only harvest energy from ambient radios, but also the energy from micro-vibrations and sunlight [66].”

    From What should 6G be? (2020) · cites this paper as [66]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 128 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

  1. S. Roundy, "Energy scavenging for wireless sensor nodes with a focus on vibration to electricity conversion," Ph.D. dissertation, Dept. EECS, Univ. Berkeley, Berkeley, CA, USA, May, 2003.
  2. Microstrain Press Release. Microstrain wins navy contract for develop- ing energy-harvesting wireless sensors, Jul. 2006. [Online]. Available: http://www.microstrain.com/news/article-65.aspx
  3. M. Gatzianas, L. Georgiadis, and L. Tassiulas, "Control of wireless networks with rechargeable batteries," IEEE Trans. Wireless Commun., vol. 9, no. 2, pp. 581-593, Feb. 2010.
  4. Y. Luo, J. Zhang, and K. B. Letaief, "Training optimization for en- ergy harvesting communication systems," in Proc. IEEE GLOBECOM, Dec. 2012, pp. 3365-3370.
  5. K. Tutuncuoglu and A. Yener, "Multiple access and two-way channels with energy harvesting and bidirectional energy cooperation," in Proc. ITA, Feb. 2013, pp. 1-8.
  6. C. Tapparello, O. Simeone, and M. Rossi, "Dynamic compression- transmission for energy-harvesting multihop networks with correlated sources," IEEE/ACM Trans. Netw., vol. 22, no. 6, pp. 1729-1741, Dec. 2014.
  7. S. L. Barnes, "A technique for maximizing details in numerical weather map analysis," J. Appl. Meteorol., vol. 3, no. 4, pp. 396-409, Aug. 1964.
  8. K. Ganesan, P. Grover, and J. M. Rabaey, "The power cost of overde- signing codes," in Proc. IEEE SiPS, Oct. 2011, pp. 128-133.

Cited by

Sorted by citations

Authors
Ulukus, S., Yener, A., Erkip, E., Simeone, O., Zorzi, M., Grover, P., & Huang, K.
Affiliations
  • University of Maryland, College Park (US)
  • Pennsylvania State University (US)
  • New York University (US)
  • New Jersey Institute of Technology (US)
  • University of Padua (IT)
  • Carnegie Mellon University (US)
  • University of Hong Kong (HK)
Venue
IEEE Journal on Selected Areas in Communications
Published
2015-03
Volume
33
Issue
3
Pages
360-381
ISSN
  • 0733-8716 (ISSN-L)
  • 1558-0008
OpenAlex
W1969461599
Cited by
805
References
128
Citations by year
2026: 17 · 2025: 27 · 2024: 33 · 2023: 31 · 2022: 45 · 2021: 56 · 2020: 101 · 2019: 109 · 2018: 130 · 2017: 132 · 2016: 98 · 2015: 23 · 2014: 3
FWCI
61.57
Type
journal article
Language
en
Open access
Locations
  • IEEE Journal on Selected Areas in Communications (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion, other-oa)
  • Padua Research Archive (University of Padova) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Computer Science › Computer Networks and Communications › Age of Information Optimization
Keywords
transmission scheduling, resource allocation, medium access control, energy cooperation, energy consumption modeling, wireless networks

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