Evidence map›Paper›PMID 35214404›Full record

ArticleSensors (Basel, Switzerland)2022

LoRaChainCare: An IoT Architecture Integrating Blockchain and LoRa Network for Personal Health Care Data Monitoring.

Bouthaina Dammak, Mariem Turki, Saoussen Cheikhrouhou, Mouna Baklouti, Rawya Mars, Afef Dhahbi

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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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

6 authors.

Bouthaina DammakDepartment of Computer Science and Information Technology, Applied College, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia.
Mariem TurkiISIMG, University of Gabes, Gabes 6033, Tunisia.
Saoussen CheikhrouhouReDCAD, University of Sfax, Sfax 3038, Tunisia.ORCID 0000-0003-4607-7452
Mouna BakloutiCES Lab, University of Sfax, Sfax 3038, Tunisia.
Rawya MarsReDCAD, University of Sfax, Sfax 3038, Tunisia.
Afef DhahbiDepartment of Administrative Sciences, Applied College, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia.

Funding

Princess Nourah bint Abdulrahman University PRFA-P- 43 - 2
6 · The paper itself

Abstract

Over the past several years, the adoption of HealthCare Monitoring Systems (HCS) in health centers and organizations like hospitals or eldery homes growth significantly. The adoption of such systems is revolutionized by a propelling advancements in IoT and Blockchain technologies. Owing to technological advancement in IoT sensors market, innovations in HCS to monitor patients health status have motivated many countries to strength their efforts to support their citizens with such care delivery systems under the directives of a physician who has access to patient's data. Nevertheless, secure data sharing is a principal patient's concern to be comfort to use such systems. Current HCS are not able to provide reassuring security policies. For that, one of our focus in this work, is to provide security countermeasures, likewise cost-efficient solution for HCS by integrating storage model based on Blockchain and Interplanetary File Systems (IPFS). Blockchain technology is an emerging solution in pharmaceutical industry and starts to take place for HCS and allows HealthCare providers to track connected devices and control access to shared data, hence protecting patients' privacy. Furthermore, the addition of Edge and Fog computing has improved HCS to react in real-time and enhance their reliability. A variety of communication protocols can connect sensor devices to edge/Fog layer and the best choice will depend upon connectivity requirements: range, bandwidth, power, interoperability, security, and reliability. Instead, systems efficiency would decline and hurt if communication protocol is inconsistent. LoRa (Long Range) communications technology is emerging as the leader among Low-Power Wide-Area Networks (LPWANs) entering the IoT domain benefiting from many features such as long-range distances and low power consumption. This work proposes LoRaChainCare, an architecture model for HCS which combines the technologies Blockchain, Fog/Edge computing, and the LoRa communication protocol. A real implementation of LoRaChainCare system is presented and evaluated in terms of cost, run time and power consumption.

Indexed as

BlockchainConfidentialityDelivery of Health CareHumansMonitoring, PhysiologicReproducibility of Resultsblockchainedge computingfog computinghealthcareInternet-of-ThingsIPFSLoRasecurity

Identifiers

PMID35214404
PMCPMC8875370

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Registered trials

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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.