Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


33140.pdf (3.39 MB)

ETD Abstract Container

Abstract Header

UAV Path Planning with Communication Constraints

Joseph, Jose
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
As the applications of Unmanned Aerial Vehicles (UAVs) are becoming more and more common, it is necessary to address their inherent technological challenges so as to make them safe and more useful. Designing an e ective UAV path planning algorithm is essential in all UAV missions. The UAV path planning strategy depends on its application eld. The application speci c constraints also need to be satis ed along with UAV mobility aspects for a successful UAV mission. This thesis aims to solve the UAV Path planning problem for the scenarios when the UAVs are used for remote sensing and data communication applications. The thesis consists of two pieces of work. The rst piece of work addresses and solves a UAV path planning problem when time windows and data ooading constraints are involved, which is very typical in a data communication application scenario. A Genetic Algorithm based approach is used to solve the problem in realistic time limits. In the second piece of work, an evaluation of the capabilities of currently available robotics and network simulators is conducted to determine their suitability to be used as a simulator for multimedia data communication over UAV networks. An ideal simulator for this purpose should have simulation capabilities for image/video capture, image processing, encoding/decoding and quality measurement along with flight and network simulation. A new simulation framework is proposed and tested by combining X-Plane, M3WSN and EvalVid simulator platforms to achieve an end to end simulation of a UAV multimedia data communication scenario.
Rui Dai, Ph.D. (Committee Chair)
Dharma Agrawal, D.Sc. (Committee Member)
Manish Kumar, Ph.D. (Committee Member)
47 p.
Computer Science
Unmanned aerial vehicles; path planning; communication constraints; mixed integer linear programming; genetic algorithm; UAV simulators

Recommended Citations

Citations

  • Joseph, J. (2019). UAV Path Planning with Communication Constraints [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696

    APA Style (7th edition)

  • Joseph, Jose. UAV Path Planning with Communication Constraints. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696.

    MLA Style (8th edition)

  • Joseph, Jose. "UAV Path Planning with Communication Constraints." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696

    Chicago Manual of Style (17th edition)

ucin1563872872304696
152
© 2019, some rights reserved.Creative Commons License UAV Path Planning with Communication Constraints by Jose Joseph is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.