Grant: Research Tools and Instruments - Category 1 (<$150,000)
Acadia University
$22,059.00
Sensor network equipment to validate energy efficient routing and data dissemination techniques
FY 2006-07
Summary
Wireless sensor networks (WSNs) are used for various applications such as environmental monitoring, security, military, industry automation, and health-care. In addition to typical monitoring such as temperature, light, motion, and humidity, these wireless sensor nodes can process and store some data. Due to limited battery life, the sensor nodes must use intelligent energy-efficient routing and data dissemination techniques; otherwise, the batteries could be drained in only a few days. We have implemented and simulated several energy-efficient routing and data dissemination techniques that extend the battery lifetime. As the deployment environment signficantly affects radio communication, simulation studies are not always accurate for complex large scale WSN deployments. The validation and verification of the proposed techniques will be achieved by the large-scale deployment of sensor nodes in different environments such as campus buildings, labs, residence halls, and botanical gardens. In our proposed work, we plan to use realistic radio communication models and channel characteristics. A few of our current projects are as follows: 1) graph connectivity in geometric random graphs using non-uniform spatial distributions of nodes; 2) investigate the maximum lifetime problem using energy and reliability metrics to forward data over unreliable links, while considering radio irregularity due to local environments; 3) develop dynamic routing trees using short range transmission for the sensors, while eliminating the infinite packet aggregation assumption; and 4) facilitate the detection of misplaced nodes in large scale indoor deployments such as hotels, offices, and campus buildings, using pre-determined surrounding environments and a few WSN reference nodes. An actual deployment of a WSN is needed in all of the above projects. The outcome would be a rigorously tested application that can work for extended time, in which the performance will not be affected by changes in deployment environment.
Program
Research Tools and Instruments - Category 1 (<$150,000)
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
344995-2007
Name nom
Hussain, Sajid
Department département
Computer Science, Jodrey School of
Organization id
78
Institution établissement
Acadia University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2007
Award amount
22059
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
330
Committee name en
Computing and Information Sciences - A
Committee name fr
Informatique - A
Area of application code
803
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer communications
Area of application fr
Téléinformatique
Research subject code
2704
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Distributed and parallel processing
Research subject fr
Traitement réparti et simultané
Partie
1
Nb partie
1
Application title
Sensor network equipment to validate energy efficient routing and data dissemination techniques
Keyword
NA
Application summary
Wireless sensor networks (WSNs) are used for various applications such as environmental monitoring, security, military, industry automation, and health-care. In addition to typical monitoring such as temperature, light, motion, and humidity, these wireless sensor nodes can process and store some data. Due to limited battery life, the sensor nodes must use intelligent energy-efficient routing and data dissemination techniques; otherwise, the batteries could be drained in only a few days. We have implemented and simulated several energy-efficient routing and data dissemination techniques that extend the battery lifetime. As the deployment environment signficantly affects radio communication, simulation studies are not always accurate for complex large scale WSN deployments. The validation and verification of the proposed techniques will be achieved by the large-scale deployment of sensor nodes in different environments such as campus buildings, labs, residence halls, and botanical gardens. In our proposed work, we plan to use realistic radio communication models and channel characteristics. A few of our current projects are as follows: 1) graph connectivity in geometric random graphs using non-uniform spatial distributions of nodes; 2) investigate the maximum lifetime problem using energy and reliability metrics to forward data over unreliable links, while considering radio irregularity due to local environments; 3) develop dynamic routing trees using short range transmission for the sensors, while eliminating the infinite packet aggregation assumption; and 4) facilitate the detection of misplaced nodes in large scale indoor deployments such as hotels, offices, and campus buildings, using pre-determined surrounding environments and a few WSN reference nodes. An actual deployment of a WSN is needed in all of the above projects. The outcome would be a rigorously tested application that can work for extended time, in which the performance will not be affected by changes in deployment environment.
