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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

969
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...
969
Coordination Number and Geometry02:57

Coordination Number and Geometry

18.1K
For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar.
18.1K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

421
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
421
Distance Measurements by Taping01:18

Distance Measurements by Taping

304
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
304

You might also read

Related Articles

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

Sort by
Same author

Toward Autonomous Mobile Sensor Networks Technology.

IEEE transactions on industrial informatics·2020
Same author

Maximum Lifetime Strategy for Target Monitoring with Controlled Node Mobility in Sensor Networks with Obstacles.

IEEE transactions on automatic control·2020
Same author

An Energy-Efficient Target-Tracking Strategy for Mobile Sensor Networks.

IEEE transactions on cybernetics·2016
Same author

Edge-preserving ultrasonic strain imaging with uniform precision.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016

Related Experiment Video

Updated: Dec 5, 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

967

Distributed Sensor Coordination Algorithms for Efficient Coverage in a Network of Heterogeneous Mobile Sensors.

Hamid Mahboubi1, Kaveh Moezzi2, Amir G Aghdam3

  • 1Harvard John A. Paulson School of Engineering and Applied Sciences, 29 Oxford Street, Cambridge, MA 02138 USA.

IEEE Transactions on Automatic Control
|October 19, 2020
PubMed
Summary

This study introduces distributed coordination algorithms to enhance coverage in mobile sensor networks with varying sensor ranges. The algorithms iteratively reposition sensors to maximize overall sensing coverage and minimize gaps.

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.6K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

354

Related Experiment Videos

Last Updated: Dec 5, 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

967
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.6K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

354

Area of Science:

  • Robotics and Control Systems
  • Wireless Sensor Networks
  • Computational Geometry

Background:

  • Mobile sensor networks (MSNs) are crucial for environmental monitoring and data collection.
  • Optimizing coverage in MSNs with heterogeneous sensing capabilities presents significant challenges.
  • Existing algorithms often struggle with dynamic environments and non-uniform sensor ranges.

Purpose of the Study:

  • To develop novel distributed coordination algorithms for mobile sensor networks.
  • To enhance overall sensing coverage by strategically repositioning sensors with non-identical ranges.
  • To minimize coverage holes and improve network efficiency.

Main Methods:

  • Partitioning the field using multiplicatively weighted Voronoi cells.
  • Developing geometric methods for sensor relocation.
  • Implementing iterative, locally-informed positioning algorithms.
  • Simulating network performance to evaluate coverage improvement.

Main Results:

  • The proposed algorithms effectively increase total sensing coverage.
  • Sensors are repositioned to reduce the size of coverage holes.
  • The iterative approach successfully utilizes local information for optimal placement.
  • Simulations confirm the algorithms' good performance in improving coverage.

Conclusions:

  • Distributed coordination algorithms can significantly enhance coverage in MSNs.
  • The use of multiplicatively weighted Voronoi cells is effective for field partitioning.
  • The developed geometric methods provide a robust solution for sensor repositioning.
  • The proposed approach offers a promising strategy for optimizing mobile sensor network coverage.