Grant: Discovery Grants Program - Individual
York University
$16,000.00
Practical methods for maximizing information transmission in wireless sensor networks
EF 2007-08
Résumé
In a wireless sensor network, many distributed nodes observe a physical phenomenon, and communicate their findings to some central station, known as the data sink. Sensor networks represent an important emerging field of engineering research, with numerous potential applications in diverse fields, from security to wildlifemonitoring.Wireless sensor networks present a challenging problem for communication. The sensor nodes themselves have stringent energy and computational constraints. Meanwhile, the wireless communication environment is affected by many sources of distortion, such as interference or fading, any of which could cause a loss of signal. It is known that the nodes in a sensor network can achieve higher information rates through co-operation, and especially through acting as relays for each others' signal. Through relaying, each node has access to several independent paths from itself to the sink, and with each additional relay, there is an increasing probability that at least one path to the sink will be usable. However, this solution imposes a burden on the relaying nodes, as they cannot send their own information while helping their neighbor. Furthermore, it requires the relaying nodes to consume their precious energy and computational resources.The proposed work will investigate methods for maximizing the information transfer rate through a wireless sensor network, particularly addressing the burden incurred in relaying through methods such as distributing it over as large a set of nodes as possible, or using simplified algorithms locally at each node. With a focus on feasibility, the proposed work will, if successful, lead to the deployment of sensor networking hardware which exploits advanced concepts in wireless communication technology.
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
341551-2007
Name nom
Eckford, Andrew
Department département
Computer Science and Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2007
Award amount
16000
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
334
Committee name en
Commun.,Computers & Components
Committee name fr
Communic.,ordin. et composants
Area of application code
514
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Communications equipment
Area of application fr
Matériel de télécommunications
Research subject code
2525
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Wireless communication systems
Research subject fr
Systèmes de télécommunications sans fil
Partie
1
Nb partie
5
Application title
Practical methods for maximizing information transmission in wireless sensor networks
Keyword
NA
Application summary
In a wireless sensor network, many distributed nodes observe a physical phenomenon, and communicate their findings to some central station, known as the data sink. Sensor networks represent an important emerging field of engineering research, with numerous potential applications in diverse fields, from security to wildlifemonitoring.Wireless sensor networks present a challenging problem for communication. The sensor nodes themselves have stringent energy and computational constraints. Meanwhile, the wireless communication environment is affected by many sources of distortion, such as interference or fading, any of which could cause a loss of signal. It is known that the nodes in a sensor network can achieve higher information rates through co-operation, and especially through acting as relays for each others' signal. Through relaying, each node has access to several independent paths from itself to the sink, and with each additional relay, there is an increasing probability that at least one path to the sink will be usable. However, this solution imposes a burden on the relaying nodes, as they cannot send their own information while helping their neighbor. Furthermore, it requires the relaying nodes to consume their precious energy and computational resources.The proposed work will investigate methods for maximizing the information transfer rate through a wireless sensor network, particularly addressing the burden incurred in relaying through methods such as distributing it over as large a set of nodes as possible, or using simplified algorithms locally at each node. With a focus on feasibility, the proposed work will, if successful, lead to the deployment of sensor networking hardware which exploits advanced concepts in wireless communication technology.