Jove
Visualize
Contact Us

Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
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...
12.0K
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

66
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...
66
Sampling Plans01:23

Sampling Plans

208
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
208
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

77
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
77
Errors in Global Positioning System01:26

Errors in Global Positioning System

64
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
64
RNA-seq03:21

RNA-seq

10.0K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.0K

You might also read

Related Articles

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

Sort by
Same author

Differential Iterative Joint Estimation Approach for Indoor Target Localization.

Sensors (Basel, Switzerland)·2026
Same author

Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems.

Sensors (Basel, Switzerland)·2025
Same author

NELD-EC: Neighborhood-Effective-Line-Density-Based Euclidean Clustering for Point Cloud Segmentation.

Sensors (Basel, Switzerland)·2025
Same author

SignalFormer: Hybrid Transformer for Automatic Drone Identification Based on Drone RF Signals.

Sensors (Basel, Switzerland)·2023
Same author

A Gated-Recurrent-Unit-Based Interacting Multiple Model Method for Small Bird Tracking on Lidar System.

Sensors (Basel, Switzerland)·2023
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
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 Experiment Video

Updated: Jul 16, 2025

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

10.7K

Efficient Localization Method Based on RSSI for AP Clusters.

Zhigang Su1, Zeyu Tian1, Jingtang Hao1

  • 1Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an Access Point Cluster Localization (APCL) method for precise wireless sensor network (WSN) tracking. The APCL method enhances localization accuracy and reduces computational load for moving targets.

Keywords:
access point clusterseigenvalue methodindoor localizationmaximum likelihood estimationreal-time localizationreceived signal strength indication

More Related Videos

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization
09:30

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization

Published on: July 13, 2017

8.1K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Related Experiment Videos

Last Updated: Jul 16, 2025

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

10.7K
Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization
09:30

Localization of Odorant Receptor Genes in Locust Antennae by RNA In Situ Hybridization

Published on: July 13, 2017

8.1K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.8K

Area of Science:

  • Wireless Sensor Networks
  • Localization Algorithms
  • Signal Processing

Background:

  • Received Signal Strength Indication (RSSI) based localization methods face accuracy issues due to signal fluctuations.
  • Maximum Likelihood Estimation (MLE) for target localization is computationally complex and non-convex.
  • Existing methods struggle with high-precision real-time localization of moving targets in Wireless Sensor Networks (WSNs).

Purpose of the Study:

  • To propose a novel RSSI-based Access Point Cluster Localization (APCL) method.
  • To improve the accuracy and reduce the computational complexity of locating moving targets in WSNs.
  • To address the limitations of current RSSI-based localization techniques.

Main Methods:

  • Utilizing multiple location-constrained Access Points (APs) to form an AP cluster as an Anchor Node (AN).
  • Estimating target RSSI using multiple samples obtained by the AN.
  • Transforming the MLE localization problem into an eigenvalue problem via an eigenvalue equation for rapid computation.

Main Results:

  • The APCL method demonstrates higher localization accuracy compared to classical RSSI-based methods.
  • The APCL method achieves lower computational effort, enabling real-time localization.
  • Simulation and experimental results validate the effectiveness of the APCL method for moving targets in WSNs.

Conclusions:

  • The proposed APCL method offers a significant improvement for real-time, high-precision localization in WSNs.
  • APCL effectively mitigates RSSI fluctuations and simplifies the localization computation.
  • This method provides a viable solution for accurate tracking of moving targets in wireless environments.