Evidence map›Paper›PMID 30736308›Full record

ArticleSensors (Basel, Switzerland)2019

An Investigation on Pervasive Technologies for IoT-based Thermal Monitoring.

Edoardo Giusto, Filippo Gandino, Michele Luigi Greco, Michelangelo Grosso, Bartolomeo Montrucchio, Salvatore Rinaudo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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

6 authors.

Edoardo GiustoDAUIN, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy. edoardo.giusto@polito.it.ORCID 0000-0001-8371-6685
Filippo GandinoDAUIN, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy. filippo.gandino@polito.it.ORCID 0000-0001-5581-1159
Michele Luigi GrecoDAUIN, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy. micheleluigi.greco@studenti.polito.it.
Michelangelo GrossoSTMicroelectronics s.r.l., Corso Duca degli Abruzzi 24, 10129 Torino, Italy. michelangelo.grosso@st.com.ORCID 0000-0002-9726-0356
Bartolomeo MontrucchioDAUIN, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy. bartolomeo.montrucchio@polito.it.
Salvatore RinaudoSTMicroelectronics s.r.l., Via Franco Gorgone 39/41, 95121 Catania, Italy. salvatore.rinaudo@st.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoor thermal monitoring is a crucial requirement for home automation, which fits inside the ever-growing Internet of Things (IoT) paradigm. The IoT ecosystem aims at connecting every device exploiting specific functions, deployed in a particular place, in order to give the chance to the users to monitor and/or control some aspects of their life, or to demand this task to a proper software. In the thermal monitoring context, IoT provides new opportunities for a dense and/or large-scale distribution of sensors, which have to gather data in order to effectively control the Heating, Ventilation and Air Conditioning (HVAC) system. Several wireless technologies can be exploited for this scope. However, they involve different benefits and drawbacks. In particular, this study is focused on Radio Frequency Identification (RFID) and Bluetooth®, which represent two well-known wireless technological standards used by commercial electronics but suitable also for pervasive IoT systems. These technologies are discussed and compared from several points of view, i.e., flexibility, reliability, battery life and cost of the system. A theoretical analysis highlights their benefits for the application context and evaluates their suitability to dense and large-scale monitoring systems. The theoretical results are supported by an experimental analysis based on the implementation and test of two different systems, one using RFID and the other using Bluetooth technology.

Indexed as

bluetoothRFIDsensorsthermal monitoring

Identifiers

PMID30736308
PMCPMC6387001

What OpenQuestion holds

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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.