Grant: Collaborative Research and Development Grants
Queen's University
$80,333.00
Integrated sensing and RFID solutions in challenging environments
EF 2013-14
Résumé
Today we have the technical capacity to integrate two cutting-edge wireless systems: namely radio-frequency identification (RFID) and wireless sensor networks (WSNs). RFIDs enable large scale identification of objects while WSNs provide a pool of information about the objects and environment in its vicinity. Their integration into RFID sensor networks (RSNs) will enable significant residential, commercial and public sector applications. Adoption in challenging environments has been hindered by a three factors: i) wireless communication is intrinsically difficult in industrial environments; ii) integrating heterogeneous components in RSNs further complicates communication protocols; and iii) the requirements for accuracy, robustness and system responsiveness present major challenges against the constraints of size, energy efficiency and deployment schemes. Building upon our prior work in RSNs and in challenging environments, we propose an integrated RSN architecture that will overcome these obstacles by optimizing RSN localization, monitoring, relaying and reporting. Our objectives include the design and development RSN node prototypes that are capable of withstanding the oil extraction operating environment. Our prototypes will be deployed in Syncrude's Fort McMurray field to monitor the health of digging components and to facilitate the efficient retrieval of any damaged components. Our architecture will provide both a technical and economical advantage for Canada by introducing a novel paradigm of sensing and identification in oil sand mining. As a result, our research will be important for effective industrial monitoring in any challenging environment. Four graduate students (two PhD and two MSc) and an research engineer will be trained in practical, state-of-the art RSN design through this project.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
445517-2012
Name nom
Hassanein, Hossam
Department département
Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2012
Award amount
80333
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
3
Application title
Integrated sensing and RFID solutions in challenging environments
Keyword
NSERC
Application summary
Today we have the technical capacity to integrate two cutting-edge wireless systems: namely radio-frequency identification (RFID) and wireless sensor networks (WSNs). RFIDs enable large scale identification of objects while WSNs provide a pool of information about the objects and environment in its vicinity. Their integration into RFID sensor networks (RSNs) will enable significant residential, commercial and public sector applications. Adoption in challenging environments has been hindered by a three factors: i) wireless communication is intrinsically difficult in industrial environments; ii) integrating heterogeneous components in RSNs further complicates communication protocols; and iii) the requirements for accuracy, robustness and system responsiveness present major challenges against the constraints of size, energy efficiency and deployment schemes. Building upon our prior work in RSNs and in challenging environments, we propose an integrated RSN architecture that will overcome these obstacles by optimizing RSN localization, monitoring, relaying and reporting. Our objectives include the design and development RSN node prototypes that are capable of withstanding the oil extraction operating environment. Our prototypes will be deployed in Syncrude's Fort McMurray field to monitor the health of digging components and to facilitate the efficient retrieval of any damaged components. Our architecture will provide both a technical and economical advantage for Canada by introducing a novel paradigm of sensing and identification in oil sand mining. As a result, our research will be important for effective industrial monitoring in any challenging environment. Four graduate students (two PhD and two MSc) and an research engineer will be trained in practical, state-of-the art RSN design through this project.