Evidence map›Paper›PMID 41398364›Full record

ArticleScientific reports2025

An improved sparrow search algorithm and its application in the deployment of 3D wireless sensor nodes.

Shan Li, Li Ping Mo, Biao Yin, Wei Min

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shan LiSchool of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.
Li Ping MoCollege of Computer Science and Engineering, Jishou University, Jishou, 416000, China. zmx89@jsu.edu.cn.
Biao YinSchool of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.
Wei MinSchool of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.

Funding

the National Natural Science Foundation of China 62266019the Natural Science Foundation of Hunan Province, China 2024JJ7394
6 · The paper itself

Abstract

This manuscript proposes an Improved Sparrow Search Algorithm with Multi-Strategies (MSISSA) to address the shortcomings of the Sparrow Search Algorithm (SSA), and applies it to optimize the deployment of 3D Wireless Sensor Nodes (3D-WSNs). The improvements of MSISSA encompass three main components: firstly, it utilizes an adaptive weight operator for updating position to enhance local search accuracy and expedite convergence; secondly, it introduces the spiral flight mechanism of the Moth Flame Optimization (MFO) algorithm, which balances the algorithm's local and global search abilities; finally, it uses the Levy flight mechanism to jump out the local optima. The experimental results demonstrate that MSISSA outperforms SSA, its four variants, and two classical intelligent algorithms. The simulation results indicate that when the number of nodes is 30 and 50, the optimal coverage rate of MSISSA reaches 91.89% and 99.11%, respectively, surpassing those achieved by SSA and its four variants, as well as two classical intelligent algorithms. Therefore, it can be concluded that MSISSA is well-suited for optimizing the deployment of 3D-WSNs.

Indexed as

Levy flightMoth-flame optimization algorithmSparrow search algorithmThree-dimensional wireless sensor nodes

Identifiers

PMID41398364
PMCPMC12816645

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.