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Grant: Discovery Grants Program - Individual

University of Waterloo

$71,000.00

Energy Efficient Wireless Communication Networking

EF 2017-18

Résumé
With increasing demand for broadband multimedia wireless communication and information services, energy consumption in wireless communication networks has become a major concern. Most existing energy efficient techniques cannot be applied as they are limited for wireless sensor networks, where the sensors have limited power and functionalities with very low data traffic load and no (or low) mobility. As a result, many R&D initiatives have been launched worldwide to develop energy efficient (green) wireless communications and networking technologies. The proposed research program aims to study fundamental tradeoffs between energy efficiency and communication service quality for broadband multimedia mobile communications, and to develop new networking solutions for better compromise between energy efficiency and service quality. In particular, we will focus on three thrusts: 1) adaptive link control according to network dynamics, enabling mobile terminals to alternate between active and sleeping modes, 2) end-to-end information delivery, enabling energy efficient data traffic routing to minimize energy consumption and maximize network lifetime, and 3) network cooperation, which will allow some base stations to be turned off when and where traffic loads are light, and greatly expand the service coverage area of each active base station to ensure continuous service quality. Diverse quality-of-service requirements, data traffic dynamics in multimedia communications, and random user mobility pose significant technical challenges to improve energy efficiency without compromising service quality. The research outcomes are expected to have a profound technological and scientific impact, in providing in-depth understanding and guidelines for developing more flexible and practical energy efficient wireless networking algorithms and protocols, and in helping Canada to establish and reinforce its leadership in green wireless networking. This program will train a large pool of highly qualified personnel, providing them with valuable insights and experiences in distributed energy efficient resource allocation and network control, and enabling them to emerge as expert additions to the Canadian high technology industry labor force.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
155131-2013
Name nom
Zhuang, Weihua
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2013
Award amount
71000
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
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
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
5
Nb partie
5
Application title
Energy Efficient Wireless Communication Networking
Keyword
NSERC
Application summary
With increasing demand for broadband multimedia wireless communication and information services, energy consumption in wireless communication networks has become a major concern. Most existing energy efficient techniques cannot be applied as they are limited for wireless sensor networks, where the sensors have limited power and functionalities with very low data traffic load and no (or low) mobility. As a result, many R&D initiatives have been launched worldwide to develop energy efficient (green) wireless communications and networking technologies. The proposed research program aims to study fundamental tradeoffs between energy efficiency and communication service quality for broadband multimedia mobile communications, and to develop new networking solutions for better compromise between energy efficiency and service quality. In particular, we will focus on three thrusts: 1) adaptive link control according to network dynamics, enabling mobile terminals to alternate between active and sleeping modes, 2) end-to-end information delivery, enabling energy efficient data traffic routing to minimize energy consumption and maximize network lifetime, and 3) network cooperation, which will allow some base stations to be turned off when and where traffic loads are light, and greatly expand the service coverage area of each active base station to ensure continuous service quality. Diverse quality-of-service requirements, data traffic dynamics in multimedia communications, and random user mobility pose significant technical challenges to improve energy efficiency without compromising service quality. The research outcomes are expected to have a profound technological and scientific impact, in providing in-depth understanding and guidelines for developing more flexible and practical energy efficient wireless networking algorithms and protocols, and in helping Canada to establish and reinforce its leadership in green wireless networking. This program will train a large pool of highly qualified personnel, providing them with valuable insights and experiences in distributed energy efficient resource allocation and network control, and enabling them to emerge as expert additions to the Canadian high technology industry labor force.