Evidence map›Paper›PMID 34677306›Full record

ArticleBiosensors2021

Mitigation of Data Packet Loss in Bluetooth Low Energy-Based Wearable Healthcare Ecosystem.

Vishal Varun Tipparaju, Kyle R Mallires, Di Wang, Francis Tsow, Xiaojun Xian

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 36 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Vishal Varun TipparajuThe Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Kyle R MalliresThe Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Di WangThe Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Francis TsowThe Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Xiaojun XianThe Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0001-6561-5266
Arizona State University · USSouth Dakota State University · US

Funding

Mobile multifunctional tool for monitoring and management of respiratory diseasesR44HL123164 · NHLBI · TF HEALTH CORPORATION · PI FORZANI, ERICA SILVIA, TSOW, FRANCIS · 2015 to 2017
$1.4M
National Heart, Lung, and Blood Institute 5R44HL123164-04National Institute of Biomedical Imaging and Bioengineering 1U01EB021980-01
6 · The paper itself

Abstract

Bluetooth Low Energy (BLE) plays a critical role in wireless data transmission in wearable technologies. The previous work in this field has mostly focused on optimizing the transmission throughput and power consumption. However, not much work has been reported on a systematic evaluation of the data packet loss of BLE in the wearable healthcare ecosystem, which is essential for reliable and secure data transmission. Considering that diverse wearable devices are used as peripherals and off-the-shelf smartphones (Android, iPhone) or Raspberry Pi with various chipsets and operating systems (OS) as hubs in the wearable ecosystem, there is an urgent need to understand the factors that influence data loss in BLE and develop a mitigation solution to address the data loss issue. In this work, we have systematically evaluated packet losses in Android and iOS based wearable ecosystems and proposed a reduced transmission frequency and data bundling strategy along with queue-based packet transmission protocol to mitigate data packet loss in BLE. The proposed protocol provides flexibility to the peripheral device to work with the host either in real-time mode for timely data transmission or offline mode for accumulated data transmission when there is a request from the host. The test results show that lowered transmission frequency and data bundling reduce the packet losses to less than 1%. The queue-based packet transmission protocol eliminates any remaining packet loss by using re-request routines. The data loss mitigation protocol developed in this research can be widely applied to the BLE-based wearable ecosystem for various applications, such as body sensor networks (BSN), the Internet of Things (IoT), and smart homes.

Indexed as

Delivery of Health CareWireless TechnologyAlgorithmsEcosystemSmartphoneSoftwareWearable Electronic Devicesbluetooth low energy (BLE)data lossdata transmissioninternet of things (IoT)wearable technologieswireless communication

Identifiers

PMID34677306
PMCPMC8533907
OpenAlexW3199150287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.