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Grant: Collaborative Research and Development Grants

University of Western Ontario

$100,000.00

Intelligent, Efficient and Secure Operation of UAV Swarm through Adaptive Heterogeneous Communication and Edge-Cloud Collaboration

EF 2019-20

Résumé
The recent technological advancement and rapidly growing market have led to the dramatic proliferation of unmanned aerial vehicles (UAVs). By exploiting the collaboration among multiple UAVs, UAV swarm technology is becoming a viable solution to overcome the limitation of a single UAV. The main objective of this NSERC CRD project is to develop the integrated design of all heterogeneous wireless communication links and the corresponding collaboration mechanisms, as well as edge-cloud data processing techniques for highly robust, efficient and intelligent UAV swarm operation. Specifically, the proposed research is focused on robust and low latency concurrent command and control, effective operation of multi-UAV-based flying ad hoc networks (FANET), which are achieved through the proposed coordination mechanism among Heterogeneous Networks (HetNets) to support dynamic operation of an UAV swarm and efficient dense communications. In achieving low latency communications in ultra-dense FANET networks, new concepts of virtual small cell and prioritized access will be utilized. In addition, a situation-aware data collection through intelligent edge-cloud collaboration will be developed in achieving intelligent UAV swarm operation.The funds from the NSERC CRD program will be mainly used to support the research and development team at Western University, which includes five Highly Qualified Personnel (HQP) trainee positions on an annual basis, as well as the interaction activities with General Dynamics Land System (""GDLS""). Both theoretical aspects of the proposed adaptive concurrent low latency C2 transmission techniques, and the practical aspects on HetNets coordination and intelligent operation of FANET will be investigated by the NSERC CRD trainees. In addition, intelligent situation-aware task scheduling using machine learning will be investigated by the researchers from Western University and GDLS. This project will help the Canadian industries develop robust, efficient, and large scale machine communications and UAV swarm operation technologies based on the research results, which will directly benefit the ICT based Canadian economy.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
533987-2018
Name nom
Wang, Xianbin
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
100000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2508
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications networks
Research subject fr
Réseaux de télécommunications
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
Intelligent, Efficient and Secure Operation of UAV Swarm through Adaptive Heterogeneous Communication and Edge-Cloud Collaboration
Keyword
NSERC
Application summary
The recent technological advancement and rapidly growing market have led to the dramatic proliferation of unmanned aerial vehicles (UAVs). By exploiting the collaboration among multiple UAVs, UAV swarm technology is becoming a viable solution to overcome the limitation of a single UAV. The main objective of this NSERC CRD project is to develop the integrated design of all heterogeneous wireless communication links and the corresponding collaboration mechanisms, as well as edge-cloud data processing techniques for highly robust, efficient and intelligent UAV swarm operation. Specifically, the proposed research is focused on robust and low latency concurrent command and control, effective operation of multi-UAV-based flying ad hoc networks (FANET), which are achieved through the proposed coordination mechanism among Heterogeneous Networks (HetNets) to support dynamic operation of an UAV swarm and efficient dense communications. In achieving low latency communications in ultra-dense FANET networks, new concepts of virtual small cell and prioritized access will be utilized. In addition, a situation-aware data collection through intelligent edge-cloud collaboration will be developed in achieving intelligent UAV swarm operation.The funds from the NSERC CRD program will be mainly used to support the research and development team at Western University, which includes five Highly Qualified Personnel (HQP) trainee positions on an annual basis, as well as the interaction activities with General Dynamics Land System (""GDLS""). Both theoretical aspects of the proposed adaptive concurrent low latency C2 transmission techniques, and the practical aspects on HetNets coordination and intelligent operation of FANET will be investigated by the NSERC CRD trainees. In addition, intelligent situation-aware task scheduling using machine learning will be investigated by the researchers from Western University and GDLS. This project will help the Canadian industries develop robust, efficient, and large scale machine communications and UAV swarm operation technologies based on the research results, which will directly benefit the ICT based Canadian economy.