Evidence map›Paper›PMID 30646555›Full record

ArticleSensors (Basel, Switzerland)2019

Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning Approach.

Muhammad Ateeq, Farruh Ishmanov, Muhammad Khalil Afzal, Muhammad Naeem

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Muhammad AteeqDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. rmateeq@yahoo.com.ORCID 0000-0001-7033-8937
Farruh IshmanovDepartment of Electronics & Communication Engineering, Kwangwoon University, Seoul 01897, Korea. farruh.uzb@gmail.com.ORCID 0000-0002-7378-8009
Muhammad Khalil AfzalDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. khalilafzal@ciitwah.edu.pk.ORCID 0000-0002-6161-1310
Muhammad NaeemDepartment of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan. muhammadnaeem@gmail.com.

Funding

Kwangwoon University Not Applicable
6 · The paper itself

Abstract

Small-to-medium scale smart buildings are an important part of the Internet of Things (IoT). Wireless Sensor Networks (WSNs) are the major enabler for smart control in such environments. Reliability is among the key performance requirements for many loss-sensitive IoT and WSN applications, while Energy Consumption (

Indexed as

deep learningenergy consumptionIEEE 802.15.4internet of thingspacket delivery ratiopredictionwireless sensor networks

Identifiers

PMID30646555
PMCPMC6359337

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.