Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Anchoring Junctions01:03

Anchoring Junctions

4.4K
Anchoring junctions are multiprotein complexes that help cells connect to other cells and the extracellular matrix. Anchoring junctions are present on the lateral and basal surfaces of cells, providing strong and flexible connections. Focal adhesions are often formed due to cell interactions with the ECM substrata, which initiate signal transduction via kinase cascades and other mechanisms. Together, they provide stability and tissue integrity. There are three types of anchoring junctions:...
4.4K
Nodal Analysis with Voltage Sources01:11

Nodal Analysis with Voltage Sources

1.6K
Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
1.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

886
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
886
Nodal Analysis01:10

Nodal Analysis

1.5K
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
1.5K
Cluster Sampling Method01:20

Cluster Sampling Method

13.6K
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...
13.6K
Optimal Foraging00:48

Optimal Foraging

12.8K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.8K

You might also read

Related Articles

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

Sort by
Same author

Semaglutide alleviates osteoarthritis independent of weight loss via GLP-1R-mediated activation of autophagy through AKT/mTOR inhibition.

Journal of orthopaedic translation·2026
Same author

<i>In vitro</i> interspecies interactions between methicillin-resistant <i>Staphylococcus aureus</i> and <i>Pseudomonas aeruginosa</i>: effects on bacterial growth, antibiotic susceptibility, and transcriptomic reprogramming.

Frontiers in cellular and infection microbiology·2026
Same author

Zooplankton Community Stability and Environmental Filtering in a Shallow Eutrophic Lake.

Ecology and evolution·2026
Same author

Evaluation of a Novel Autostereoscopic Three-Dimensional System for Binocular Visual Function: A Comparative Validation Study.

Journal of clinical medicine·2026
Same author

Posterior-Contact Soft-ZUPT for Foot-Mounted Inertial Navigation: Uncertainty-Aware Pseudo-Observation Modeling.

Sensors (Basel, Switzerland)·2026
Same author

PriorNav: Prior Knowledge Enhanced Zero-Shot Goal Navigation via Multi-Step Iterative Reasoning.

Sensors (Basel, Switzerland)·2026
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

Related Experiment Video

Updated: Nov 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

894

A Novel Location Source Optimization Algorithm for Low Anchor Node Density Wireless Sensor Networks.

Zhongliang Deng1, Shihao Tang1, Xiwen Deng1

  • 1School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a fuzzy comprehensive evaluation algorithm to improve location accuracy in the Internet of Things (IoT) using wireless sensor networks (WSNs). The new method enhances positioning accuracy by 33.9% in low anchor node density scenarios.

Keywords:
DCPCRLBcooperative localizationfuzzy comprehensive evaluationlocation source optimization

More Related Videos

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

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

Published on: February 8, 2019

7.0K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.9K

Related Experiment Videos

Last Updated: Nov 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

894
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

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

Published on: February 8, 2019

7.0K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.9K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Location information is fundamental for the Internet of Things (IoT) and wireless sensor networks (WSNs).
  • Traditional cooperative localization methods struggle with accuracy in low anchor node density environments due to redundant information.
  • Time-of-Arrival (TOA) positioning is a key challenge in these scenarios.

Purpose of the Study:

  • To propose a novel location source optimization algorithm for TOA positioning in WSNs with low anchor node density.
  • To enhance positioning accuracy compared to traditional methods in challenging deployment environments.
  • To maintain comparable computational complexity while improving performance.

Main Methods:

  • Development of a location source optimization algorithm based on fuzzy comprehensive evaluation.
  • Calculation and sharing of the Time-Position Distribute Conditional Posterior Cramer-Rao Lower Bound (DCPCRLB) among nodes.
  • Fuzzy evaluation of neighboring nodes' information (DCPCRLB, distance, azimuth) to select the optimal location source.

Main Results:

  • The proposed fuzzy comprehensive evaluation algorithm significantly improves positioning accuracy.
  • Demonstrated a 33.9% improvement in positioning accuracy compared to existing methods in low anchor node density scenarios.
  • Achieved comparable computational complexity to traditional methods.

Conclusions:

  • The fuzzy comprehensive evaluation approach is effective for optimizing location sources in WSNs.
  • This method offers a practical solution for enhancing IoT location services in sparse network conditions.
  • The algorithm provides a robust and accurate positioning solution for WSNs with limited anchor nodes.