Minimal Exposure Paths in Time-Varying Fields: A Semi-Lagrangian Approach-Reference-Cited by-同舟云学术

Minimal Exposure Paths in Time-Varying Fields: A Semi-Lagrangian Approach

Published:2023-02 Issue:2 Volume:8 Page:664-671
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Neto Armando Alves¹^ORCID,Campos Victor C. da Silva¹^ORCID,Macharet Douglas G.²^ORCID

Affiliation:

1. Department of Electronics Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil

2. Computer Vision and Robotics Laboratory (VeRLab), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil

Funder

CAPES/Brazil - Finance Code 001

CNPq/Brazil

FAPEMIG/Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9990971/09992088.pdf?arnumber=9992088

Reference23 articles.

1. A semi-Lagrangian approach for the Minimal Exposure Path Problem in Wireless Sensor Networks

2. Secluded Connectivity Problems

3. Coverage Maximization in Wireless Sensor Networks Using Minimal Exposure Path and Particle Swarm Optimization

4. Mobility improves coverage of sensor networks

5. Mobile Wireless sensor networks: An overview;ramasamy;Wireless Sensor Networks,2017

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