Grant: Discovery Grants Program - Individual
University of Western Ontario
$15,000.00
Agent-Based Resilient and Secure Wireless Sensor Networks and Applications
EF 2016-17
Résumé
A Wireless Sensor Network (WSN) typically consists of a large number of distributed sensors interconnected through wireless links for physical and environmental monitoring purposes. Along with sensing and monitoring capabilities, wireless sensors cooperate and communicate with themselves to deliver, share and process sensed information and assist real-time decision-making procedures through triggering appropriate alerts and actions. Existing WSN applications have already made significant impacts on a variety of real world domains including military & homeland security, environmental monitoring, industrial machine-health monitoring and control, smart homes and intelligent buildings. However, reliability, security and privacy concerns have been identified as the major obstacles to the wide deployment of this technology in most application domains. The objective of this proposed research program is to address the challenges of reliability, security, and privacy in WSN. At the system level, intelligent software agent technologies will be applied to enhance the WSN capabilities on collaboration, coordination, self-configuration and fault tolerance so as to ensure the reliability and resilience of WSN. At the communication level, WSN security and privacy will be effectively enhanced by adopting robust and fault tolerant communication mechanisms and data integrity verification; and implementing accurate authentication of sensors and controllers. Specifically, communication relays among the WSN sensors will be introduced, where the additional security risks from the relay sensors will be controlled by the proposed authentication techniques. Finally, all the technologies and solutions developed during this research program will be demonstrated in the application domains of factory automation, smart home and intelligent building, in collaboration with industrial partners. Successful utilization of these technologies will significantly improve the usefulness and adoptability of wireless sensor networks for targeted application domains, and will ultimately provide and enhance automated and real time decision-making capabilities in Canada's manufacturing and construction industries, which in turn, help increase productivity and profitability of these industries.
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
261541-2013
Name nom
Shen, Weiming
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
2016
Competition year année de concours
2013
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
4
Nb partie
5
Application title
Agent-Based Resilient and Secure Wireless Sensor Networks and Applications
Keyword
NSERC
Application summary
A Wireless Sensor Network (WSN) typically consists of a large number of distributed sensors interconnected through wireless links for physical and environmental monitoring purposes. Along with sensing and monitoring capabilities, wireless sensors cooperate and communicate with themselves to deliver, share and process sensed information and assist real-time decision-making procedures through triggering appropriate alerts and actions. Existing WSN applications have already made significant impacts on a variety of real world domains including military & homeland security, environmental monitoring, industrial machine-health monitoring and control, smart homes and intelligent buildings. However, reliability, security and privacy concerns have been identified as the major obstacles to the wide deployment of this technology in most application domains. The objective of this proposed research program is to address the challenges of reliability, security, and privacy in WSN. At the system level, intelligent software agent technologies will be applied to enhance the WSN capabilities on collaboration, coordination, self-configuration and fault tolerance so as to ensure the reliability and resilience of WSN. At the communication level, WSN security and privacy will be effectively enhanced by adopting robust and fault tolerant communication mechanisms and data integrity verification; and implementing accurate authentication of sensors and controllers. Specifically, communication relays among the WSN sensors will be introduced, where the additional security risks from the relay sensors will be controlled by the proposed authentication techniques. Finally, all the technologies and solutions developed during this research program will be demonstrated in the application domains of factory automation, smart home and intelligent building, in collaboration with industrial partners. Successful utilization of these technologies will significantly improve the usefulness and adoptability of wireless sensor networks for targeted application domains, and will ultimately provide and enhance automated and real time decision-making capabilities in Canada's manufacturing and construction industries, which in turn, help increase productivity and profitability of these industries.