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Grant: Engage Grants Program

Memorial University of Newfoundland

$25,000.00

Enable Underwater Structure Monitoring Through Acoustic Sensor Networking

FY 2015-16

Summary
Underwater Wireless Sensor Networks (UWSNs) have received much attention in recent years due to the wide range of their potential applications, such as environmental and offshore structural monitoring, natural resources development, and geological oceanography. While much research effort has been devoted to the improvement of acoustic signal reception and processing, few studies focus on efficient data transfer, novel medium access control, and energy conservation among sensor nodes in subsea structural health monitoring (SHM) applications. The objective of the proposed research is to develop innovative algorithms that will lead to an energy-efficient underwater sensor networking platform for offshore structural health monitoring applications. The theoretical aspects of the work will focus on modeling, simulation and testing of algorithms for UWSNs in offshore structural health monitoring applications. The experimental thrust will focus on implementation and verifying of outcomes from the theoretical work. Details of the proposed research include: 1) Underwater acoustic channel characteristics modeling; 2) Underwater acoustic network simulation; 3) Energy-efficient routing metric determination; 4) Hybrid architecture design of sensor nodes; and 5) Field testing underwater. The direct benefits from the technology perspective include network algorithms, innovative cooperative networking schemes, and new performance models to enable highly efficient acoustic sensor networking in hash underwater environments. The applications of the proposed research for offshore assets monitoring will bring in a significant growth point for the industrial partner Waterford Energy Services Inc. (WESI). The proposed project will help to reinforce Canada's leadership position and competitive advantage within the global telecommunications industry and offshore oil and gas industry.
Program
Engage Grants Program
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
486202-2015
Name nom
Li, Cheng
Department département
Engineering and Applied Science, Faculty of
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
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
Partie
1
Nb partie
1
Application title
Enable Underwater Structure Monitoring Through Acoustic Sensor Networking
Keyword
NSERC
Application summary
Underwater Wireless Sensor Networks (UWSNs) have received much attention in recent years due to the wide range of their potential applications, such as environmental and offshore structural monitoring, natural resources development, and geological oceanography. While much research effort has been devoted to the improvement of acoustic signal reception and processing, few studies focus on efficient data transfer, novel medium access control, and energy conservation among sensor nodes in subsea structural health monitoring (SHM) applications. The objective of the proposed research is to develop innovative algorithms that will lead to an energy-efficient underwater sensor networking platform for offshore structural health monitoring applications. The theoretical aspects of the work will focus on modeling, simulation and testing of algorithms for UWSNs in offshore structural health monitoring applications. The experimental thrust will focus on implementation and verifying of outcomes from the theoretical work. Details of the proposed research include: 1) Underwater acoustic channel characteristics modeling; 2) Underwater acoustic network simulation; 3) Energy-efficient routing metric determination; 4) Hybrid architecture design of sensor nodes; and 5) Field testing underwater. The direct benefits from the technology perspective include network algorithms, innovative cooperative networking schemes, and new performance models to enable highly efficient acoustic sensor networking in hash underwater environments. The applications of the proposed research for offshore assets monitoring will bring in a significant growth point for the industrial partner Waterford Energy Services Inc. (WESI). The proposed project will help to reinforce Canada's leadership position and competitive advantage within the global telecommunications industry and offshore oil and gas industry.