Evidence map›Paper›PMID 36433427›Full record

ArticleSensors (Basel, Switzerland)2022

Performance of Narrow Band Wide Area Networks with Gateway Diversity.

Başak Can, Bora Karaoğlu, Uttam Bhat, Muhammed Faruk Gencel, Thomas Chen

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. 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

5 authors.

Başak CanAmazon Lab126, 1100 Enterprise Way, Sunnyvale, CA 94089, USA.
Bora KaraoğluAmazon Lab126, 1100 Enterprise Way, Sunnyvale, CA 94089, USA.
Uttam BhatAmazon Lab126, 1100 Enterprise Way, Sunnyvale, CA 94089, USA.
Muhammed Faruk GencelAmazon Lab126, 1100 Enterprise Way, Sunnyvale, CA 94089, USA.ORCID 0000-0002-5452-7516
Thomas ChenAmazon Lab126, Ciyun Rd., East Dist., Hsinchu City 300196, Taiwan.ORCID 0000-0001-5626-6420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper quantifies the coverage area of Low-Power Wide-Area Networks (LPWAN) for Packet Success Rates (PSR) above 85%, where acceptable Quality of Service (QoS) can be achieved. The network consists of battery-operated end-nodes (ENs) and multiple stationary gateways (GWs). We consider asynchronous communication that uses ALOHA-based random channel access. Each transmission from the ENs can be received by multiple GWs. Such spatial diversity results in favorable Signal-to-Noise ratios (SNR). The LoRa modulation is assumed and its specific features, such as IQ inversion, further contribute to decreasing the impact of interference. An increase in the GW density improves network performance, which allows support for a larger density of end-nodes as well as increasing the coverage area. Our simulation results show that a suburban area of up to 1.44 km

Indexed as

CommunicationElectric Power SuppliesComputer SimulationSerogroupSignal-To-Noise Ratiocoverage areagatewaygateway diversityIoTLoRaLPWANPERPSRRSSISNR

Identifiers

PMID36433427
PMCPMC9695022

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.