Grant: Discovery Grants Program - Individual
Université d'Ottawa
$55,000.00
Towards the Design of Smart Mobility Management and Path Prediction Protocols for the Next Generation of Internet of Drones
EF 2024-25
Résumé
Drones are rapidly transforming various sectors, offering unique applications in disaster relief, precision agriculture, and security. The strategic integration of drones into Canada's airspace is a national priority, aiming to harness the full potential of the Internet of Drones (IoD). However, the current drone ecosystem faces significant challenges in mobility, connectivity, and handover management, necessitating innovative solutions for efficient airspace organization, collision avoidance, and mobility and data management. This proposal is devoted to developing the foundation towards the design an innovative IoD unfrastructure which shall deal with all of these challenging problems. To do so, in this program, we aim to design and develop an intelligent architecture for a city-wide IoT-enabled drone network, ensuring seamless integration with other networks, efficient mobility connectivity and data management, drones' path prediction while guaranteeing high quality of services and security. Therefore, we plan first to fundamentally understand the complexities of mobility, location and data management in IoD networking, considering the dynamic nature of drones' autonomy and movement, and the challenges of real-time drones' path prediction; then develop scalable communication protocols for D2D/D2X that shall leverage the characteristics of drones mobility for gathering aerial data, consequently, integrating drones' trajectory data mining into drones' mobility management and focusing on enhancing the drone's performance in terms of mobility and path prediction, connectivity and coverage, data gathering ad well as reducing the volume of unnecessary data exchanged among drones required for targeted applications and energy efficiency.
The PI is responding to the growing demands of Internet of Drones by both government nd industries. This program is expected to enhance the capabilities of drones, and produce the knowledge and principle that will lead to the development of a new era in the drones networking and service provisioning system for IoD based applications. The anticipated impact of this proposed research is quite substantial while advancing the field of IoD and fostering technological innovation and strengthening Canada's leadership in the drone technology. This proposal not only aims to enhance the capabilities of drones but also provides significant training and development opportunities for Highly Qualified Personnel in this promising and emerging IoD field while assisting the Canadian industries to be the frontrunner of the IoD technological advancements.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-06838
Name nom
Boukerche, Azzedine
Department département
Electrical Engineering and Computer Science , School of - science informatique et de génie électrique, École de
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
55000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2721
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Multimedia systems and networks
Research subject fr
Systèmes et réseaux multimédias
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Towards the Design of Smart Mobility Management and Path Prediction Protocols for the Next Generation of Internet of Drones
Keywords
wireless and mobile networks; wireless sensor networks; internet of drones; vehicular networks
Application summary
Drones are rapidly transforming various sectors, offering unique applications in disaster relief, precision agriculture, and security. The strategic integration of drones into Canada's airspace is a national priority, aiming to harness the full potential of the Internet of Drones (IoD). However, the current drone ecosystem faces significant challenges in mobility, connectivity, and handover management, necessitating innovative solutions for efficient airspace organization, collision avoidance, and mobility and data management. This proposal is devoted to developing the foundation towards the design an innovative IoD unfrastructure which shall deal with all of these challenging problems. To do so, in this program, we aim to design and develop an intelligent architecture for a city-wide IoT-enabled drone network, ensuring seamless integration with other networks, efficient mobility connectivity and data management, drones' path prediction while guaranteeing high quality of services and security. Therefore, we plan first to fundamentally understand the complexities of mobility, location and data management in IoD networking, considering the dynamic nature of drones' autonomy and movement, and the challenges of real-time drones' path prediction; then develop scalable communication protocols for D2D/D2X that shall leverage the characteristics of drones mobility for gathering aerial data, consequently, integrating drones' trajectory data mining into drones' mobility management and focusing on enhancing the drone's performance in terms of mobility and path prediction, connectivity and coverage, data gathering ad well as reducing the volume of unnecessary data exchanged among drones required for targeted applications and energy efficiency.
The PI is responding to the growing demands of Internet of Drones by both government nd industries. This program is expected to enhance the capabilities of drones, and produce the knowledge and principle that will lead to the development of a new era in the drones networking and service provisioning system for IoD based applications. The anticipated impact of this proposed research is quite substantial while advancing the field of IoD and fostering technological innovation and strengthening Canada's leadership in the drone technology. This proposal not only aims to enhance the capabilities of drones but also provides significant training and development opportunities for Highly Qualified Personnel in this promising and emerging IoD field while assisting the Canadian industries to be the frontrunner of the IoD technological advancements.