Evidence map›Paper›PMID 36679578›Full record

ArticleSensors (Basel, Switzerland)2023

A Quantum Annealing Bat Algorithm for Node Localization in Wireless Sensor Networks.

Shujie Yu, Jianping Zhu, Chunfeng Lv

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

3 authors.

Shujie YuCollege of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd., Nanhui New City, Shanghai 201306, China.
Jianping ZhuCollege of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd., Nanhui New City, Shanghai 201306, China.
Chunfeng LvCollege of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd., Nanhui New City, Shanghai 201306, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Node localization in two-dimensional (2D) and three-dimensional (3D) space for wireless sensor networks (WSNs) remains a hot research topic. To improve the localization accuracy and applicability, we first propose a quantum annealing bat algorithm (QABA) for node localization in WSNs. QABA incorporates quantum evolution and annealing strategy into the framework of the bat algorithm to improve local and global search capabilities, achieve search balance with the aid of tournament and natural selection, and finally converge to the best optimized value. Additionally, we use trilateral localization and geometric feature principles to design 2D (QABA-2D) and 3D (QABA-3D) node localization algorithms optimized with QABA, respectively. Simulation results show that, compared with other heuristic algorithms, the convergence speed and solution accuracy of QABA are greatly improved, with the highest average error of QABA-2D reduced by 90.35% and the lowest by 17.22%, and the highest average error of QABA-3D reduced by 75.26% and the lowest by 7.79%.

Indexed as

Computer Communication NetworksWireless TechnologyAlgorithmsComputer Simulationbat algorithmgeometric featuresnatural selectionnode localizationquantum evolutiontournamentwireless sensor networks

Identifiers

PMID36679578
PMCPMC9864710

What OpenQuestion holds

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Registered trials

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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.