An improved sparrow search algorithm and its application in the deployment of 3D wireless sensor nodes
Shan Li1, Li Ping Mo2, Biao Yin1
1School of Communication and Electronic Engineering, Jishou University, Jishou, 416000, China.
Scientific Reports
|December 15, 2025
Summary
A new Multi-Strategy Improved Sparrow Search Algorithm (MSISSA) enhances 3D Wireless Sensor Node (3D-WSN) deployment. MSISSA achieves superior coverage rates compared to existing algorithms, optimizing network performance.
Area of Science:
- Computer Science
- Artificial Intelligence
- Optimization Algorithms
Background:
- Traditional Sparrow Search Algorithm (SSA) has limitations in local search accuracy and global exploration.
- Optimizing the deployment of 3D Wireless Sensor Nodes (3D-WSNs) is crucial for network efficiency and coverage.
Purpose of the Study:
- To propose an enhanced Sparrow Search Algorithm with Multi-Strategies (MSISSA).
- To apply MSISSA for optimizing the deployment of 3D-WSNs.
- To evaluate the performance of MSISSA against SSA and other intelligent algorithms.
Main Methods:
- MSISSA integrates an adaptive weight operator for improved position updates.
- Incorporation of the Moth Flame Optimization (MFO) spiral flight mechanism to balance local and global search.
- Inclusion of Levy flight mechanism to escape local optima.
Main Results:
- MSISSA demonstrated superior performance over SSA, its variants, and two classical intelligent algorithms.
- Optimal coverage rates of 91.89% (30 nodes) and 99.11% (50 nodes) were achieved by MSISSA.
- MSISSA significantly outperformed existing methods in 3D-WSN deployment optimization.
Conclusions:
- MSISSA effectively addresses SSA's shortcomings.
- The proposed MSISSA is highly suitable for optimizing 3D-WSN deployment.
- MSISSA offers enhanced accuracy and convergence for complex optimization problems.
Related Concept Videos
01:28Field Application of Global Positioning System
280
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
280
01:30Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
353
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
353
01:20Cluster Sampling Method
13.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.9K