Grant: Discovery Grants Program - Individual
Ryerson University
$36,000.00
Cognitive Radio Networks with Wireless Sensor Applications
EF 2018-19
Résumé
*Wireless sensor networks (WSNs), part of the fast*emerging Internet of Things will be playing vital role in transforming our*lives. Potentially huge number of these sensors will soon be deployed to*perform simple to complex tasks such as automatically controlling heat and*light in smart homes to guiding autonomous vehicles and missiles. Finding*adequate radio spectrum of these potentially numerous wireless sensors is a*major issue. While Industry Canada is struggling to allocate more frequency*bands, up to mm wave bands, many researchers' experimental studies show that*already allocated spectrum is typically underused by 25-30%. *Cognitive radio (CR) networks are a new form of*intelligent wireless network where, the cognitive (secondary) users are*configured to coexist with licensed (primary) users without causing harmful*electromagnetic interference to them by opportunistic spectrum access. There*are a few steps in the successful implementation of a CR cycle. Namely,*spectrum awareness (achieved through sensing various spectrum parameters and*spectrum occupancy), analysis and decision making based on the observation, and*spectrum exploitation (adaptation). These basic functions need to be carried*out repeatedly in a cognitive radio network.* *Another challenge in WSN is providing energy.*Battery management and maintenance of these sensors can be a prohibitively*expensive exercise because of their abundance. Sensors' performance will*deteriorate with the remaining energy level and dead sensor nodes will affect*the performance of an entire network, especially in multi-hop networks.*Improper battery disposal will also cause environmental pollution and health*hazardous in the long run. *The energy issue can be alleviated by energy*harvesting. The ambience has energy in the forms of light, heat, mechanical*vibrations and electromagnetic radiations. Especially, cognitive WSN can harvest*energy from the primary network. This energy has to be collected with*appropriate transducers, stored reliably and used for wireless data*transmission which is typically bursty. The sporadic and unreliable nature of*the energy harvesting process as well as characteristics of electronic elements*has to be appropriately modeled to design viable energy harvesting WSN. *When the spectrum stealing CR functionality is*added to the energy harvesting wireless sensors, the research problem is very*challenging. However, it is essential to investigate this scenario due to the*pressing necessity. In addition, traditional requirements of wireless*communication such as appropriate quality of service, meeting latency,*throughput, fairness and reliability still have to be met by future cognitive*energy harvesting wireless sensor network. The proposed research program will*focus on this direction, investigating pressing issues in cognitive wireless*sensor networks and finding novel solutions. *
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
RGPIN-2016-04038
Name nom
Fernando, Xavier
Department département
Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2016
Award amount
36000
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
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
Research subject code
2507
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications systems
Research subject fr
Systèmes de télécommunications
Partie
3
Nb partie
5
Application title
Cognitive Radio Networks with Wireless Sensor Applications
Keyword
NSERC
Application summary
*Wireless sensor networks (WSNs), part of the fast*emerging Internet of Things will be playing vital role in transforming our*lives. Potentially huge number of these sensors will soon be deployed to*perform simple to complex tasks such as automatically controlling heat and*light in smart homes to guiding autonomous vehicles and missiles. Finding*adequate radio spectrum of these potentially numerous wireless sensors is a*major issue. While Industry Canada is struggling to allocate more frequency*bands, up to mm wave bands, many researchers' experimental studies show that*already allocated spectrum is typically underused by 25-30%. *Cognitive radio (CR) networks are a new form of*intelligent wireless network where, the cognitive (secondary) users are*configured to coexist with licensed (primary) users without causing harmful*electromagnetic interference to them by opportunistic spectrum access. There*are a few steps in the successful implementation of a CR cycle. Namely,*spectrum awareness (achieved through sensing various spectrum parameters and*spectrum occupancy), analysis and decision making based on the observation, and*spectrum exploitation (adaptation). These basic functions need to be carried*out repeatedly in a cognitive radio network.* *Another challenge in WSN is providing energy.*Battery management and maintenance of these sensors can be a prohibitively*expensive exercise because of their abundance. Sensors' performance will*deteriorate with the remaining energy level and dead sensor nodes will affect*the performance of an entire network, especially in multi-hop networks.*Improper battery disposal will also cause environmental pollution and health*hazardous in the long run. *The energy issue can be alleviated by energy*harvesting. The ambience has energy in the forms of light, heat, mechanical*vibrations and electromagnetic radiations. Especially, cognitive WSN can harvest*energy from the primary network. This energy has to be collected with*appropriate transducers, stored reliably and used for wireless data*transmission which is typically bursty. The sporadic and unreliable nature of*the energy harvesting process as well as characteristics of electronic elements*has to be appropriately modeled to design viable energy harvesting WSN. *When the spectrum stealing CR functionality is*added to the energy harvesting wireless sensors, the research problem is very*challenging. However, it is essential to investigate this scenario due to the*pressing necessity. In addition, traditional requirements of wireless*communication such as appropriate quality of service, meeting latency,*throughput, fairness and reliability still have to be met by future cognitive*energy harvesting wireless sensor network. The proposed research program will*focus on this direction, investigating pressing issues in cognitive wireless*sensor networks and finding novel solutions. *