{"id":{"repo_id":"embry-riddle","oai_identifier":"oai:commons.erau.edu:edt-1258"},"canonical_url":"https://search.dev.ndltd.org/etd/embry-riddle/oai:commons.erau.edu:edt-1258","repository":{"repo_id":"embry-riddle","name":"Embry Riddle Aeronautical University","base_url":"https://commons.erau.edu/do/oai/"},"display":{"title":"UAV as a Service: Providing On-Demand Access and On-The-Fly Retasking of Multi-Tenant UAVs Using Cloud Services","abstract":"<p>As commercial roles for Unmanned Aerial Vehicles (UAVs) become more well-defined and demand for the services provided by them increases, UAVs rely more on new cloud computing services and co-operative coordination to provide mission planning, control, tracking and data processing. We present UAV as a Service (UAVaaS) framework, which brings features commonly found in traditional cloud services, such as Infrastructure, Platform, and Software as a Service, to the domain of UAVs. Our work aims to conceptualize and design UAVaaS for commercial applications. Specifically, a cloud-provided orchestration framework that allows multi-tenant UAVs to easily serve multiple heterogenous clients at once and automatically re-task them to users with higher priority, mid-flight, if needed. This research utilizes a spiral model design approach to formally define the UAVaaS framework, and to identify key focus areas, protocols, data structures, network topologies, and message patterns. A safety and security analysis is performed to mitigate potential risks that are present in the system and a prototype simulation is implemented as proof of concept.</p>","abstract_html":"&lt;p&gt;As commercial roles for Unmanned Aerial Vehicles (UAVs) become more well-defined and demand for the services provided by them increases, UAVs rely more on new cloud computing services and co-operative coordination to provide mission planning, control, tracking and data processing. We present UAV as a Service (UAVaaS) framework, which brings features commonly found in traditional cloud services, such as Infrastructure, Platform, and Software as a Service, to the domain of UAVs. Our work aims to conceptualize and design UAVaaS for commercial applications. Specifically, a cloud-provided orchestration framework that allows multi-tenant UAVs to easily serve multiple heterogenous clients at once and automatically re-task them to users with higher priority, mid-flight, if needed. This research utilizes a spiral model design approach to formally define the UAVaaS framework, and to identify key focus areas, protocols, data structures, network topologies, and message patterns. A safety and security analysis is performed to mitigate potential risks that are present in the system and a prototype simulation is implemented as proof of concept.&lt;/p&gt;","abstract_has_math":false,"creators":["Yapp, Justin"],"institution":null,"degree_name":"Master of Science in Cybersecurity Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Electrical, Computer, Software, and Systems Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-05-04T07:00:00Z","date_published":"2016-05-04T07:00:00Z","updated_at":"2026-07-27T19:26:02Z","subjects":["UAV","unmanned aerial vehicles","cloud services","Aeronautical Vehicles","Data Storage Systems"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/259","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Yapp, Justin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical, Computer, Software, and Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Cybersecurity Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["UAV","unmanned aerial vehicles","cloud services","Aeronautical Vehicles","Data Storage Systems"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/259"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>As commercial roles for Unmanned Aerial Vehicles (UAVs) become more well-defined and demand for the services provided by them increases, UAVs rely more on new cloud computing services and co-operative coordination to provide mission planning, control, tracking and data processing. We present UAV as a Service (UAVaaS) framework, which brings features commonly found in traditional cloud services, such as Infrastructure, Platform, and Software as a Service, to the domain of UAVs. Our work aims to conceptualize and design UAVaaS for commercial applications. Specifically, a cloud-provided orchestration framework that allows multi-tenant UAVs to easily serve multiple heterogenous clients at once and automatically re-task them to users with higher priority, mid-flight, if needed. This research utilizes a spiral model design approach to formally define the UAVaaS framework, and to identify key focus areas, protocols, data structures, network topologies, and message patterns. A safety and security analysis is performed to mitigate potential risks that are present in the system and a prototype simulation is implemented as proof of concept.</p>"]},{"key":"dc:title","label":"Title","values":["UAV as a Service: Providing On-Demand Access and On-The-Fly Retasking of Multi-Tenant UAVs Using Cloud Services"]}]}],"canonical_facts":{"dc:creator":["Yapp, Justin"],"dc:description.abstract":["<p>As commercial roles for Unmanned Aerial Vehicles (UAVs) become more well-defined and demand for the services provided by them increases, UAVs rely more on new cloud computing services and co-operative coordination to provide mission planning, control, tracking and data processing. We present UAV as a Service (UAVaaS) framework, which brings features commonly found in traditional cloud services, such as Infrastructure, Platform, and Software as a Service, to the domain of UAVs. Our work aims to conceptualize and design UAVaaS for commercial applications. Specifically, a cloud-provided orchestration framework that allows multi-tenant UAVs to easily serve multiple heterogenous clients at once and automatically re-task them to users with higher priority, mid-flight, if needed. This research utilizes a spiral model design approach to formally define the UAVaaS framework, and to identify key focus areas, protocols, data structures, network topologies, and message patterns. A safety and security analysis is performed to mitigate potential risks that are present in the system and a prototype simulation is implemented as proof of concept.</p>"],"dc:identifier":["https://commons.erau.edu/edt/259"],"dc:subject":["UAV","unmanned aerial vehicles","cloud services","Aeronautical Vehicles","Data Storage Systems"],"dc:title":["UAV as a Service: Providing On-Demand Access and On-The-Fly Retasking of Multi-Tenant UAVs Using Cloud Services"],"thesis:degree_discipline":["Electrical, Computer, Software, and Systems Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Cybersecurity Engineering"]},"updated_at":"2026-07-27T19:26:02Z"}