Reference number : GC-2017-Q2-00386, amendment number : , agreement type : G, recipient legal name : Anpalagan, Alagan (Ryerson University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Incorporating information and communication technologies into grid systems provides advanced capabilities_x000D_
for remote, and real-time monitoring and control of devices. In smart grid systems, wireless relays are used in_x000D_
the data collection for fault detection and power quality analysis. When wireless base stations are closer to high_x000D_
voltage transmission lines, the signals from the base stations impact the monitoring of the lines as impulsive_x000D_
noise. With the growing number of cellular base stations mainly in urban areas, this impulsive noise becomes a_x000D_
problem causing the loss of data integrity when wirelessly transmitted. In this project, we will study this_x000D_
problem to quantify the loss of data and to determine the number of additional relays required to maintain the_x000D_
same data quality in this noisy environment. This will help optimize the relay system operations (number of_x000D_
relays and locations) when excessive noise is detected in power lines._x000D_
In particular, a hybrid network architecture comprised of wireless sensor networks and cellular network will be_x000D_
considered to monitor the high voltage transmission lines in the urban and suburban areas. Corona noise is one_x000D_
of the sources of electromagnetic interference in such lines. We will first characterize the wireless channel with_x000D_
impulsive Corona noise near cellular base stations; then formulate and solve the problem of finding the_x000D_
optimum number of relays/sensors in a Zigbee-based linear and non-linear wireless sensor networks. Goal is to_x000D_
develop a matrix with the expected number of additional relays and their locations needed to maintain the same_x000D_
data quality for various intensity of noise level. The effects of physical and MAC layer parameters on the_x000D_
monitoring performance will also be quantified and included in the matrix to be used as operational guidelines_x000D_
in the relay system., program purpose french : Incorporating information and communication technologies into grid systems provides advanced capabilities_x000D_
for remote, and real-time monitoring and control of devices. In smart grid systems, wireless relays are used in_x000D_
the data collection for fault detection and power quality analysis. When wireless base stations are closer to high_x000D_
voltage transmission lines, the signals from the base stations impact the monitoring of the lines as impulsive_x000D_
noise. With the growing number of cellular base stations mainly in urban areas, this impulsive noise becomes a_x000D_
problem causing the loss of data integrity when wirelessly transmitted. In this project, we will study this_x000D_
problem to quantify the loss of data and to determine the number of additional relays required to maintain the_x000D_
same data quality in this noisy environment. This will help optimize the relay system operations (number of_x000D_
relays and locations) when excessive noise is detected in power lines._x000D_
In particular, a hybrid network architecture comprised of wireless sensor networks and cellular network will be_x000D_
considered to monitor the high voltage transmission lines in the urban and suburban areas. Corona noise is one_x000D_
of the sources of electromagnetic interference in such lines. We will first characterize the wireless channel with_x000D_
impulsive Corona noise near cellular base stations; then formulate and solve the problem of finding the_x000D_
optimum number of relays/sensors in a Zigbee-based linear and non-linear wireless sensor networks. Goal is to_x000D_
develop a matrix with the expected number of additional relays and their locations needed to maintain the same_x000D_
data quality for various intensity of noise level. The effects of physical and MAC layer parameters on the_x000D_
monitoring performance will also be quantified and included in the matrix to be used as operational guidelines_x000D_
in the relay system., agreement title english : Cross Layer Optimized ZigBee-based Data Collection and Monitoring of Grid Systems, agreement title french : Cross Layer Optimized ZigBee-based Data Collection and Monitoring of Grid Systems, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada