Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Charge Density Wave-Induced Highly Sensitive Terahertz Detection Based on a Large Nonlinear Hall Effect.

ACS nano·2026

Same author

PCReg: a coarse-to-fine registration framework using point cloud completion for intraoperative liver deformation correction.

International journal of computer assisted radiology and surgery·2026

Same author

VO<sub>2</sub>-Graphene Terahertz Multifunctional Metasurface with Switchable Broadband Waveplates and Absorber.

Nanomaterials (Basel, Switzerland)·2026

Same author

DistAL: A Domain-Shift Active Learning Framework With Transferable Feature Learning for Lesion Detection.

IEEE transactions on medical imaging·2025

Same author

The aleurone layer of cereal grains: Development, genetic regulation, and breeding applications.

Plant communications·2025

Same author

Microdisk array based Weyl semimetal nanofilm terahertz detector.

Nanophotonics (Berlin, Germany)·2024

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Localization Algorithm Based on a Spring Model (LASM) for Large Scale Wireless Sensor Networks.

Wanming Chen^1,2, Tao Mei³, Max Q-H Meng^4,5

¹Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, P. R. China. cvchen@mail.ustc.edu.cn.

Sensors (Basel, Switzerland)

|November 24, 2016

Summary

This summary is machine-generated.

A new localization algorithm based on a spring model (LASM) enables accurate lunar rover navigation in large wireless sensor networks. This method reduces computational complexity, ensuring efficient and scalable exploration of the lunar surface.

Keywords:

Localization algorithm large scale wireless sensor networks robot navigation spring model

More Related Videos

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Mar 11, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

Robotics and Automation
Wireless Sensor Networks
Space Exploration Technology

Background:

Accurate navigation and large-scale exploration are crucial for lunar rovers.
Increasing network scale in wireless sensor networks (WSNs) leads to high computational and communication complexity.
Existing localization methods struggle with scalability and efficiency in large WSNs.

Purpose of the Study:

To propose a novel localization algorithm for lunar rover navigation in large-scale WSNs.
To reduce computational and communication complexity while maintaining localization accuracy.
To enable efficient and scalable lunar surface exploration.

Main Methods:

A localization algorithm based on a spring model (LASM) is proposed.
The algorithm simulates a physical spring system where sensor nodes are treated as particles connected by virtual springs.
Blind node positions are determined by calculating forces between neighboring nodes, with added patches to handle local optimization, node errors, and variations.

Main Results:

The LASM method achieves high localization accuracy in large-scale WSNs.
Computational and communication complexity per node are reduced to O(1), independent of network scale.
Simulation results demonstrate near-constant time consumption regardless of network size.

Conclusions:

The proposed LASM algorithm offers an efficient and scalable solution for lunar rover navigation.
It effectively addresses the challenges of computational and communication complexity in large WSNs.
This method facilitates enhanced lunar exploration capabilities through accurate and efficient localization.