Evidence map›Paper›PMID 32650500›Full record

ArticleSensors (Basel, Switzerland)2020

Energy Consumption Evaluation of a Routing Protocol for Low-Power and Lossy Networks in Mesh Scenarios for Precision Agriculture.

Frederico O Sales, Yelco Marante, Alex B Vieira, Edelberto Franco Silva

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Sensors (Basel, Switzerland) · 2021
    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.

Frederico O SalesGraduate Program in Computer Science-UFJF, Juiz de Fora-MG 36036-330, Brazil.ORCID 0000-0001-7666-6915
Yelco MaranteGraduate Program in Computer Science-UFJF, Juiz de Fora-MG 36036-330, Brazil.ORCID 0000-0001-5825-4167
Alex B VieiraGraduate Program in Computer Science-UFJF, Juiz de Fora-MG 36036-330, Brazil.ORCID 0000-0003-0821-126X
Edelberto Franco SilvaGraduate Program in Computer Science-UFJF, Juiz de Fora-MG 36036-330, Brazil.ORCID 0000-0002-0058-9260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensor nodes are small, low-cost electronic devices that can self-organize into low-power networks and are susceptible to data packet loss, having computational and energy limitations. These devices expand the possibilities in many areas, like agriculture and urban spaces. In this work, we consider an IoT environment for monitoring a coffee plantation in precision agriculture. We investigate the energy consumption under low-power and lossy networks considering three different network topologies and an Internet Engineering Task Force (IETF) standardized Low-power and Lossy Network (LLN) routing protocol, the Routing Protocol for LLNs (RPL). For RPL, each secondary node selects a better parent according to some Objective Functions (OFs). We conducted simulations using Contiki Cooja 3.0, where we considered the Expected Transmission Count (ETX) and hop-count metric (HOP) metrics to evaluate energy consumption for three distinct topologies: tree, circular, and grid. The simulation results show that the circular topology had the best (lowest) energy consumption, being 15% better than the grid topology and 30% against the tree topology. The results help the need to improve the evolution of RPL metrics and motivate the network management of the topology.

Indexed as

Computer Communication NetworksWireless TechnologyAgricultureAlgorithmsElectric Power Suppliesenergy consumptioninternet of thingsmesh networksprecision agriculturerouting protocol for low-power and lossy networks

Identifiers

PMID32650500
PMCPMC7412377

What OpenQuestion holds

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LicenceCC BY
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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.