Grant: Strategic Projects - Group
University of British Columbia
$201,100.00
Situation-aware collaborative wireless sensor networks
FY 2007-08
Summary
Recently, research on wireless sensor networks (WSNs) has intensified, and applications of WSNs have spread from the military domain into civilian domains to perform important functions such as security surveillance, fire protection, and monitoring of environmental conditions, medical patients, forest resources, and wildlife habitats, etc. These potential applications of WSNs are at an early stage of development, and much research remains to be done to make the widespread deployment of WSNs commercially viable. The proposed project is intended to advance the frontiers of WSN research by developing techniques that enhance the performance and usefulness of WSNs. These techniques address the problems of efficiently and reliably collecting, processing, transmitting, receiving and routing sensor data from a collection of sensor nodes to the intended data sinks. Low power consumption of sensor nodes is paramount to enable a long operating lifetime for distributed sensor networks. In the physical layer, we pursue advancements of cooperative communication among sensor nodes for increased link range and to effectively combat the detrimental effects of fading, and signal modulation in sensor nodes to enable power-efficient transmission with low-cost hardware components and simple circuitry. In the network layer, we develop practical and robust distributed localization techniques that leverage the precise positioning of a small subset of all sensor nodes to allow other sensor nodes to accurately determine their positions, and efficient geographical routing techniques based on the accurate positioning information. We also develop light-weight mobile agents to enable situation-awareness between sensor nodes and enhance network operations. In the sensor data processing level, we pursue fundamental research on novel algorithms and analysis for shared situation assessment, networked sensor management and cooperative engagement capabilities based on sophisticated stochastic signal processing techniques. For proof-of-concept and technology transfer, we implement a WSN testbed based on IEEE 802.15.4 ZigBee technology, which will be used to evaluate networking and sensor data processing algorithms resulting from the research.
Program
Strategic Projects - Group
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
322208-2005
Name nom
Leung, Victor
Department département
Electrical and Computer Engineering
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2005
Award amount
201100
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1005
Committee name en
Strategic Projects Selection Panel - Info & Communications Tech
Committee name fr
Comité de sélection des projets stratégiques - tech d'information et de communication
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
3
Nb partie
3
Application title
Situation-aware collaborative wireless sensor networks
Keyword
NA
Application summary
Recently, research on wireless sensor networks (WSNs) has intensified, and applications of WSNs have spread from the military domain into civilian domains to perform important functions such as security surveillance, fire protection, and monitoring of environmental conditions, medical patients, forest resources, and wildlife habitats, etc. These potential applications of WSNs are at an early stage of development, and much research remains to be done to make the widespread deployment of WSNs commercially viable. The proposed project is intended to advance the frontiers of WSN research by developing techniques that enhance the performance and usefulness of WSNs. These techniques address the problems of efficiently and reliably collecting, processing, transmitting, receiving and routing sensor data from a collection of sensor nodes to the intended data sinks. Low power consumption of sensor nodes is paramount to enable a long operating lifetime for distributed sensor networks. In the physical layer, we pursue advancements of cooperative communication among sensor nodes for increased link range and to effectively combat the detrimental effects of fading, and signal modulation in sensor nodes to enable power-efficient transmission with low-cost hardware components and simple circuitry. In the network layer, we develop practical and robust distributed localization techniques that leverage the precise positioning of a small subset of all sensor nodes to allow other sensor nodes to accurately determine their positions, and efficient geographical routing techniques based on the accurate positioning information. We also develop light-weight mobile agents to enable situation-awareness between sensor nodes and enhance network operations. In the sensor data processing level, we pursue fundamental research on novel algorithms and analysis for shared situation assessment, networked sensor management and cooperative engagement capabilities based on sophisticated stochastic signal processing techniques. For proof-of-concept and technology transfer, we implement a WSN testbed based on IEEE 802.15.4 ZigBee technology, which will be used to evaluate networking and sensor data processing algorithms resulting from the research.