Evidence map›Paper›PMID 31561569›Full record

ArticleSensors (Basel, Switzerland)2019

Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation.

Stelian Dolha, Paul Negirla, Florin Alexa, Ioan Silea

Open access · goldAbstract 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
1.4field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 18 citations in OpenAlex.

  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 at 1 institution in 1 country.

Stelian DolhaDepartment of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, Romania. stelian.dolha@gmail.com.
Paul NegirlaDepartment of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, Romania. paul.negirla@gmail.com.
Florin AlexaDepartment of Communications, Politehnica University Timişoara, Timişoara 300006, Romania. florin.alexa@upt.ro.
Ioan SileaDepartment of Automation and Applied Informatics, Politehnica University Timişoara, Timşoara 300006, Romania. ioan.silea@upt.ro.
Polytechnic University of Timişoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wireless Sensor Networks (WSN) are widely used in different monitoring systems. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. The level of signal strength is often such a starting point. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. In this paper, experiments in different operating environments have been conducted to show the variation of Received Signal Strength Indicator (RSSI) metric related to distance and geometrical orientation of the nodes and environment, both indoor and outdoor. Energy aware data transmission algorithms adjust the power consumed by the nodes according to the relative distance between the nodes. Experiments have been conducted to measure the current consumed by the node depending on the adjusted transmission power. In order to use the RSSI values as input for distance or location detection algorithms, the RSSI values can't be used without intermediate processing steps to mitigate with the non-linearity of the measured values. The results of the measurements confirmed that the RSSI level varies with distance, geometrical orientation of the sensors, and environment characteristics.

Indexed as

adjusted transmission powernon-linearity of the measured valuesRSSI (Received Signal Strength Indicator) acquisitionsensor location estimationsensor networks

Identifiers

PMID31561569
PMCPMC6806337
OpenAlexW2974944584

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.