Evidence map›Paper›PMID 35632240›Full record

ArticleSensors (Basel, Switzerland)2022

Enabling Energy Harvesting-Based Wi-Fi System for an e-Health Application: A MAC Layer Perspective.

Golshan Famitafreshi, Muhammad Shahwaiz Afaqui, Joan Melià-Seguí

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Golshan FamitafreshiInternet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 154, 08018 Barcelona, Spain.ORCID 0000-0003-0634-0041
Muhammad Shahwaiz AfaquiSchool of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.ORCID 0000-0001-9569-1163
Joan Melià-SeguíInternet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 154, 08018 Barcelona, Spain.ORCID 0000-0001-8473-4500

Funding

Generalitat de Catalunya SGR (2017-SGR-60)Spanish State Research Agency-Spanish Ministry of Science, Innovation, and Universities SPOTS (RTI2018-095438-A-I00)
6 · The paper itself

Abstract

The adverse impacts of using conventional batteries in the Internet of Things (IoT) devices, such as cost-effective maintenance, numerous battery replacements, and environmental hazards, have led to an interest in integrating energy harvesting technology into IoT devices to extend their lifetime and sustainably effectively. However, this requires improvements in different IoT protocol stack layers, especially in the MAC layer, due to its high level of energy consumption. These improvements are essential in critical applications such as IoT medical devices. In this paper, we simulated a dense solar-based energy harvesting Wi-Fi network in an e-Health environment, introducing a new algorithm for energy consumption mitigation while maintaining the required Quality of Service (QoS) for e-Health. In compliance with the upcoming Wi-Fi amendment 802.11be, the Access Point (AP) coordination-based optimization technique is proposed, where an AP can request dynamic resource rescheduling along with its nearby APs, to reduce the network energy consumption through adjustments within the standard MAC protocol. This paper shows that the proposed algorithm, alongside using solar energy harvesting technology, increases the energy efficiency by more than 40% while maintaining the e-Health QoS requirements. We believe this research will open new opportunities in IoT energy harvesting integration, especially in QoS-restricted environments.

Indexed as

Internet of ThingsSolar EnergyTelemedicineAlgorithmsElectric Power Suppliescontention windowe-Healthcareenergy harvestingMAC layerMIoTobjective functionoptimizationsleep modeWi-Fi technology

Identifiers

PMID35632240
PMCPMC9143663

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.