Grant: Collaborative Research and Development Grants
University of Waterloo
$113,382.00
Characterizing, Estimating and Improving the Performance of 802.11 Networks
EF 2019-20
Résumé
Whether on the go, at home, or at work, people increasingly rely on connecting to the Internet via 802.11 (WiFi) networks. It is anticipated that over 20 billion WiFi chipsets will be shipped between 2016 and 2021 and the number of public WiFi hot spots in the world is projected to increase from 94 million in 2016 to 542 million by 2021. Despite the introduction of high speed 4G and 5G cellular technologies, WiFi remains the dominant technology for wireless communications on mobile devices. In 2016, 60% of cellular network traffic was offloaded to WiFi networks and this number is projected to continue to increase. Recent work has found that home WiFi networks are more often the bottleneck in delivering data than the ISP link. Another recent study reports that on average there are 7 devices in every home and the median number of access points seen from a home network in developed countries is 20. Obtaining peak throughput in such environments is extremely challenging because radio spectrums are shared by WiFi devices (e.g., access points, computers, smart phones, tablets, TVs, and game consoles) and non-WiFi devices (e.g., wireless keyboards and mice and microwave ovens). Furthermore, the increasing popularity of WiFi devices exacerbates the problem. It is therefore imperative that we understand how to optimize performance in situations that include dense deployments of WiFi devices. The focus of our research is to develop tools and techniques to improve the throughput of WiFi networks, especially in environments where performance is impacted by mobility, WiFi or non-WiFi interference, and in dense deployment scenarios. The overarching goal is to improve the user experience by increasing the throughput of their devices when using 802.11 (WiFi) networks. Potential benefits to Canada would be an increase in the number of highly qualified, high salaried, tax paying, employees at Google and other companies in Canada. Improved WiFi communication should reduce delays and increase revenues for Canadian companies that sell products via the Internet (studies show that delays decrease revenues).
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
524625-2018
Name nom
Brecht, Tim
Department département
Computer Science, David R. Cheriton School of
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
113382
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2720
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Computer systems software
Research subject fr
Logiciel de systèmes informatiques
Installment
inst:2 - 2
Partie
2
Nb partie
2
Application title
Characterizing, Estimating and Improving the Performance of 802.11 Networks
Keyword
NSERC
Application summary
Whether on the go, at home, or at work, people increasingly rely on connecting to the Internet via 802.11 (WiFi) networks. It is anticipated that over 20 billion WiFi chipsets will be shipped between 2016 and 2021 and the number of public WiFi hot spots in the world is projected to increase from 94 million in 2016 to 542 million by 2021. Despite the introduction of high speed 4G and 5G cellular technologies, WiFi remains the dominant technology for wireless communications on mobile devices. In 2016, 60% of cellular network traffic was offloaded to WiFi networks and this number is projected to continue to increase. Recent work has found that home WiFi networks are more often the bottleneck in delivering data than the ISP link. Another recent study reports that on average there are 7 devices in every home and the median number of access points seen from a home network in developed countries is 20. Obtaining peak throughput in such environments is extremely challenging because radio spectrums are shared by WiFi devices (e.g., access points, computers, smart phones, tablets, TVs, and game consoles) and non-WiFi devices (e.g., wireless keyboards and mice and microwave ovens). Furthermore, the increasing popularity of WiFi devices exacerbates the problem. It is therefore imperative that we understand how to optimize performance in situations that include dense deployments of WiFi devices. The focus of our research is to develop tools and techniques to improve the throughput of WiFi networks, especially in environments where performance is impacted by mobility, WiFi or non-WiFi interference, and in dense deployment scenarios. The overarching goal is to improve the user experience by increasing the throughput of their devices when using 802.11 (WiFi) networks. Potential benefits to Canada would be an increase in the number of highly qualified, high salaried, tax paying, employees at Google and other companies in Canada. Improved WiFi communication should reduce delays and increase revenues for Canadian companies that sell products via the Internet (studies show that delays decrease revenues).