UAV Path Planning with Communication Constraints

UAV Path Planning with Communication Constraints

Bibliographic Details
Main Author: Joseph, Jose
Language:English
Published: University of Cincinnati / OhioLINK 2019
Subjects:
Computer Science
Unmanned aerial vehicles
path planning
communication constraints
mixed integer linear programming
genetic algorithm
UAV simulators
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15638728723046962021-08-16T05:10:40Z UAV Path Planning with Communication Constraints Joseph, Jose Computer Science Unmanned aerial vehicles path planning communication constraints mixed integer linear programming genetic algorithm UAV simulators 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 moreuseful. Designing an eective UAV path planning algorithm is essential in all UAV missions. TheUAV path planning strategy depends on its application eld. The application specic constraintsalso need to be satised along with UAV mobility aspects for a successful UAV mission. Thisthesis aims to solve the UAV Path planning problem for the scenarios when the UAVs are used forremote 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 anddata ooading constraints are involved, which is very typical in a data communication applicationscenario. A Genetic Algorithm based approach is used to solve the problem in realistic timelimits. In the second piece of work, an evaluation of the capabilities of currently available roboticsand network simulators is conducted to determine their suitability to be used as a simulator formultimedia data communication over UAV networks. An ideal simulator for this purpose shouldhave simulation capabilities for image/video capture, image processing, encoding/decoding andquality measurement along with flight and network simulation. A new simulation framework isproposed and tested by combining X-Plane, M3WSN and EvalVid simulator platforms to achievean end to end simulation of a UAV multimedia data communication scenario. 2019-10-24 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Unmanned aerial vehicles
path planning
communication constraints
mixed integer linear programming
genetic algorithm
UAV simulators
spellingShingle Computer Science
Unmanned aerial vehicles
path planning
communication constraints
mixed integer linear programming
genetic algorithm
UAV simulators
Joseph, Jose
UAV Path Planning with Communication Constraints
author Joseph, Jose
author_facet Joseph, Jose
author_sort Joseph, Jose
title UAV Path Planning with Communication Constraints
title_short UAV Path Planning with Communication Constraints
title_full UAV Path Planning with Communication Constraints
title_fullStr UAV Path Planning with Communication Constraints
title_full_unstemmed UAV Path Planning with Communication Constraints
title_sort uav path planning with communication constraints
publisher University of Cincinnati / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696
work_keys_str_mv AT josephjose uavpathplanningwithcommunicationconstraints
_version_ 1719460075629707264

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