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Energy Harvesting Wireless Communications: A Review of Recent Advances
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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.
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“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]
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Ozel, O., Shahzad, K., & Ulukuş, Ş. (2013) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2013.6620534 · Cited by 9
An Adaptive Data Processing System for Weather Forecasting
Hu, M. J. C., & Root, H. E. (1964) · Journal of applied meteorology · doi:10.1175/1520-0450(1964)003 · Cited by 9
Duty cycling and power management with a network of energy harvesting sensors
Reddy, S., & Murthy, C. R. (2011) · IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing · doi:10.1109/camsap.2011.6135983 · Cited by 9
Capacity of the Multiple Access Channel in energy harvesting wireless networks
Raghuvir, R. A., Rajan, D., & Srinath, M. D. (2012) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc.2012.6214501 · Cited by 9
Energy-harvesting for source-channel coding in cyber-physical systems
Castiglione, P., Simeone, O., Erkip, E., & Zemen, T. (2011) · IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing · doi:10.1109/camsap.2011.6135978 · Cited by 8
Self-citationBlake, C., & Kschischang, F. R. (2013) · Canadian Workshop on Information Theory (CWIT) · doi:10.1109/cwit.2013.6621582 · Cited by 7
Diversity analysis of an outage minimizing energy harvesting wireless protocol in Rayleigh fading
Luo, S., Zhang, R., & Lim, T. J. (2012) · International Conference on Signal Processing and Communications (SPCOM) · doi:10.1109/spcom.2012.6290239 · Cited by 5
Flagged first, then by citations
2 of the 128 references couldn’t be matched to a known paper.
Research works printed but not linked: 13
- Roundy, 2003, Energy scavenging for wireless sensor nodes with a focus on vibration to electricity conversion
- 2006, Microstrain Press Release. Microstrain wins navy contract for developing energy-harvesting wireless sensors
- 10.1109/CAMSAP.2011.6135982 · DOI
- 10.1109/twc.2014.2328600 · DOI
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- Bertsekas, 2005, Dynamic Programming and Optimal Control
- Csiszar, 1981, Information Theory: Coding Theorems for Discrete Memoryless Systems
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- 10.1002/SERIES1345 · DOI
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Cited by
Sorted by citations
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
Self-citationMobile Edge Computing: A Survey on Architecture and Computation Offloading
Mach, P., & Becvar, Z. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2682318 · Cited by 3,258
Dang, S., Amin, O., Shihada, B., & Alouini, M.-S. (2020) · Nature Electronics · doi:10.1038/s41928-019-0355-6 · Cited by 1,790
Dynamic computation offloading for mobile-edge computing with energy harvesting devices
Mao, Y., Zhang, J., & Letaief, K. B. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2611964 · Cited by 1,705
Wireless Charging Technologies: Fundamentals, Standards, and Network Applications
Lu, X., Wang, P., Niyato, D. T., Kim, D. I., & Han, Z. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2499783 · Cited by 1,059
Metadata
- 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
- FWCI
- 61.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- 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.
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