Electromagnetic Radiation Safety on Far-Field Wireless Power Transfer in IoT

2022 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 601

Study snapshot

Publicationmanual · 2022

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Electromagnetic Radiation Safety on Far-Field Wireless Power Transfer in IoT Ma F, Liu X, Ansari N. Electromagnetic Radiation Safety on Far-field Wireless Power Transfer in IoT. GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 4995-5000, doi: 10.1109/GLOBECOM48099.2022.10001490. Abstract Nowadays, Far-field Wireless Power Transfer (FWPT) has attracted many research efforts to conveniently power the Internet of Things (IoT) devices. Electromagnetic Radiation (EMR) safety in FWPT has brought much attention from the public. Existing works on FWPT mainly focus on improving the remote charging efficiency but overlooking the effects of EMR. A few works consider EMR safety but do not present accurate EMR quantization analysis because there lacks an accurate EMR computing model in IoT wireless charging scenario. In this paper, in order to evaluate and avoid the EMR's harmful impact, we first propose an accurate theoretical calculation equation for EMR and the concept of Charging Restricted Area (CRA). In the wireless charging area on a 2- dimensional plane, according to the EMR computing model, we further maximize the overall charging power by adjusting the power of chargers and ensure that the EMR in this area is lower than the EMR safety threshold. The wireless charging EMR safety problem is formulated as a linear programming problem with infinite constraints. To re-express the wireless charging EMR safety problem as a typical linear programming problem with finite constraints, the Sampling Safety Charging (SSC) algorithm is proposed. We have conducted extensive experiments to validate our proposed algorithm; the simulation results show that the performance achieved by our algorithm outperforms that achieved by the distributed RObustlySafE (ROSE) algorithm. ieeexplore.ieee.org

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AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: unknown

Main findings

The paper proposes a theoretical EMR calculation equation and a Charging Restricted Area (CRA) concept for far-field wireless power transfer scenarios, and formulates an EMR safety-constrained charging optimization problem. A Sampling Safety Charging (SSC) algorithm is proposed; simulations indicate SSC outperforms the distributed ROSE algorithm while keeping EMR below a safety threshold.

Outcomes measured

electromagnetic radiation (EMR) quantization/modeling for FWPT
charging restricted area (CRA) definition
optimization of charging power under EMR safety threshold constraints
algorithm performance vs ROSE (simulation)

Limitations

No specific frequency band, exposure metric (e.g., SAR), or numerical safety threshold is provided in the abstract.
Results are described as simulations/experiments validating an algorithm; no human/animal health outcomes are reported.
Details of the experimental setup and quantitative results are not included in the abstract.

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "far-field wireless power transfer (IoT wireless charging)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "electromagnetic radiation (EMR) quantization/modeling for FWPT",
    "charging restricted area (CRA) definition",
    "optimization of charging power under EMR safety threshold constraints",
    "algorithm performance vs ROSE (simulation)"
  ],
  "main_findings": "The paper proposes a theoretical EMR calculation equation and a Charging Restricted Area (CRA) concept for far-field wireless power transfer scenarios, and formulates an EMR safety-constrained charging optimization problem. A Sampling Safety Charging (SSC) algorithm is proposed; simulations indicate SSC outperforms the distributed ROSE algorithm while keeping EMR below a safety threshold.",
  "effect_direction": "unclear",
  "limitations": [
    "No specific frequency band, exposure metric (e.g., SAR), or numerical safety threshold is provided in the abstract.",
    "Results are described as simulations/experiments validating an algorithm; no human/animal health outcomes are reported.",
    "Details of the experimental setup and quantitative results are not included in the abstract."
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "unknown",
  "keywords": [
    "far-field wireless power transfer",
    "FWPT",
    "IoT",
    "electromagnetic radiation safety",
    "EMR computing model",
    "charging restricted area",
    "linear programming",
    "Sampling Safety Charging",
    "SSC",
    "ROSE"
  ],
  "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1109/globecom48099.2022.10001490
PubMed: Not supplied

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