Evidence map›Paper›PMID 37687866›Full record

ArticleSensors (Basel, Switzerland)2023

An Experimental Field Comparison of Wi-Fi HaLow and LoRa for the Smart Grid.

Luke Kane, Vicky Liu, Matthew McKague, Geoffrey Walker

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Luke KaneFaculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-3851-1987
Vicky LiuFaculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-8122-2558
Matthew McKagueFaculty of Science, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-3598-7541
Geoffrey WalkerFaculty of Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0001-8137-9507

Funding

Cyber Security Cooperative Research Centre N/A
6 · The paper itself

Abstract

IEEE 802.11ah, or Wi-Fi HaLow, is a long-range Internet of Things (IoT) communication technology with promising performance claims. Being IP-based makes it an attractive prospect when interfacing with existing IP networks. Through real-world performance experiments, this study evaluates the network performance of Wi-Fi HaLow in terms of throughput, latency, and reliability against IEEE 802.11n (Wi-Fi n) and a competing IoT technology LoRa. These experiments are enabled through three proposed network evaluation architectures that facilitate remote control of the devices in a secure manner. The performance of Wi-Fi HaLow is then assessed against the network requirements of various smart grid applications. Wi-Fi HaLow offers promising performance when compared to rival technology LoRa. This study is the first to evaluate Wi-Fi HaLow in an authentic experimental way, providing performance data and insights that are not possible through simulation and modelling alone. This work provides the basis for further evaluation and implementation of this emerging technology.

Indexed as

IEEE 802.11ahInternet of Things (IoT)LoRanetwork architecturenetwork performancesmart gridsymmetric key encryptionWi-FiWi-Fi HaLow

Identifiers

PMID37687866
PMCPMC10490590

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.