Evidence map›Paper›PMID 36433526›Full record

ArticleSensors (Basel, Switzerland)2022

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process.

Jitander Kumar Pabani, Miguel-Ángel Luque-Nieto, Waheeduddin Hyder, Alfonso Ariza

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
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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.

Jitander Kumar PabaniDepartment of Telecommunication Engineering, Dawood University of Engineering and Technology, Karachi 74800, Pakistan.ORCID 0000-0002-5698-9263
Miguel-Ángel Luque-NietoInstitute of Oceanic Engineering Research, University of Malaga, 29010 Málaga, Spain.ORCID 0000-0002-9287-2329
Waheeduddin HyderDepartment of Computer Science, Faculty of Engineering and Computational Science, Millennium Institute of Technology and Entrepreneurship (MITE), No 10, Sector 47, Korangi Creek Road, Karachi 75190, Pakistan.
Alfonso ArizaInstitute of Oceanic Engineering Research, University of Malaga, 29010 Málaga, Spain.ORCID 0000-0003-4637-4326

Funding

Ministry of Science and Innovation, Spain PID2020-112502RB / AEI / 10.13039/501100011033. "NAUTILUS" Project.
6 · The paper itself

Abstract

The use of underwater sensor networks (UWSNs) offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) and registering of geological events (landslides, earthquakes). However, UWSNs have many more limitations than terrestrial sensor networks (smaller bandwidth, higher delays, etc.) with new requirements such as low power consumption by nodes or being able to select appropriate routes in a dynamic topology due to water currents and movements. To cope with these problems, the use of a routing protocol is very important. In this paper we propose a routing technique that adapts to changes in the network topology, avoiding multiple retransmissions that would affect its overall performance. This protocol is energy-efficient and is implemented using a fuzzy analytical hierarchical process (FAHP) under multi-criteria decision making (MCDM) to make an intelligent routing decision based on objectives, criteria and alternatives. To select the next node on the route, several comparison matrices are used: number of hops, distances to the sink node, and number of neighbors. The results show that the proposed setup behaves similarly to other existing underwater sensor network routing schemes using fuzzy schemes such as SPRINT.

Indexed as

fuzzy analytical hierarchy processrouting protocolsUWSNs

Identifiers

PMID36433526
PMCPMC9696347

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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.