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

Errors in Global Positioning System01:26

Errors in Global Positioning System

174
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,...
174
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

162
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...
162
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

220
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...
220
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

168
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...
168
Local Attraction01:22

Local Attraction

180
Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
180
Chemotaxis in E. coli01:27

Chemotaxis in E. coli

324
Chemotaxis in Escherichia coli is a sensory-driven motility mechanism that enables bacteria to navigate chemical gradients, moving toward beneficial environments while avoiding harmful conditions. This process relies on a signal transduction system integrating external chemical cues with flagellar motor control.Chemoreceptors and Signal DetectionE. coli detects chemical gradients through methyl-accepting chemotaxis proteins (MCPs), which are membrane-bound chemoreceptors that sense attractants...
324

You might also read

Related Articles

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

Sort by
Same author

Digital Twin for Automatic Transportation in Industry 4.0.

Sensors (Basel, Switzerland)·2021
Same author

Hybrid Memetic Algorithm for the Node Location Problem in Local Positioning Systems.

Sensors (Basel, Switzerland)·2020
Same author

Local Wireless Sensor Networks Positioning Reliability Under Sensor Failure.

Sensors (Basel, Switzerland)·2020
Same author

Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems.

Sensors (Basel, Switzerland)·2019
Same author

Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods.

Sensors (Basel, Switzerland)·2019
Same author

3D Tdoa Problem Solution with Four Receiving Nodes.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: Nov 7, 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

889

Memetic Chains for Improving the Local Wireless Sensor Networks Localization in Urban Scenarios.

Paula Verde1, Javier Díez-González1, Rubén Ferrero-Guillén1

  • 1Department of Mechanical, Computer and Aerospace Engineering, Universidad de León, 24071 León, Spain.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary

Researchers optimized sensor deployment for Local Positioning Systems (LPS) using a novel algorithm. This enhanced accuracy in Time Difference of Arrival (TDOA) systems for applications like autonomous navigation.

Keywords:
Cramèr-Rao Boundlocal positioning systemmemetic algorithm chainsnode location problemtime difference of arrivalvariable neighborhood descent

More Related Videos

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.6K
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

Related Experiment Videos

Last Updated: Nov 7, 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

889
Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.6K
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

Area of Science:

  • Engineering and Technology
  • Computer Science
  • Signal Processing

Background:

  • Local Positioning Systems (LPS) are crucial for high-accuracy applications like autonomous navigation and indoor localization, especially in challenging environments.
  • Temporal measurement-based LPS, particularly Time Difference of Arrival (TDOA), offer a favorable balance of accuracy, robustness, availability, and cost.
  • Optimizing sensor deployment for TDOA systems, known as the Node Location Problem (NLP), is an NP-Hard challenge requiring advanced solutions.

Purpose of the Study:

  • To analyze and determine the optimal sensor deployment for Time Difference of Arrival (TDOA) based Local Positioning Systems (LPS).
  • To address the Node Location Problem (NLP) in large-scale, discrete, and discontinuous urban scenarios.
  • To introduce and evaluate a novel heuristic algorithm for optimizing NLP in TDOA architectures.

Main Methods:

  • Adaptation of Memetic Algorithms (MA) for the Node Location Problem (NLP).
  • Introduction of the MA-Variable Neighborhood Descent-Chains (MA-VND-Chains) algorithm.
  • Comparative analysis against Genetic Algorithms (GA) and existing Memetic Algorithms (MA) for TDOA sensor deployment optimization in urban settings.

Main Results:

  • The proposed MA-VND-Chains algorithm demonstrated superior performance compared to GA and previous MA approaches for the NLP.
  • Achieved a 17% improvement in accuracy over Genetic Algorithms (GA).
  • Achieved a 10% improvement in accuracy over previous Memetic Algorithms (MA) for the TDOA architecture in the studied urban scenario.

Conclusions:

  • The MA-VND-Chains algorithm provides a more effective solution for optimizing sensor deployment in TDOA-based LPS within urban environments.
  • This advancement contributes to improved accuracy and efficiency in critical applications such as autonomous navigation and restricted environment operations.
  • The study highlights the potential of advanced heuristic algorithms in solving complex optimization problems in positioning systems.