Thumbnail Image
Item

Towards Confident Body Sensor Networking

Ren, Zhen
Abstract
With the recent technology advances of wireless communication and lightweight low-power sensors, Body Sensor Network (BSN) is made possible. More and more researchers are interested in developing numerous novel BSN applications, such as remote health/fitness monitoring, military and sport training, interactive gaming, personal information sharing, and secure authentication. Despite the unstable wireless communication, various confidence requirements are placed on the BSN networking service. This thesis aims to provide Quality of Service (QoS) solutions for BSN communication, in order to achieve the required confidence goals.;We develop communication quality solutions to satisfy confidence requirements from both the communication and application levels, in single and multiple BSNs. First, we build communication QoS, targeting at providing service quality guarantees in terms of throughput and time delay on the communication level. More specifically, considering the heterogeneous BSN platform in a real deployment, we develop a radio-agnostic solution for wireless resource scheduling in the BSN. Second, we provide a QoS solution for both inter- and intra-BSN communications when more than one BSNs are involved. Third, we define application fidelity for two neurometric applications as examples, and bridge a connection between the communication QoS and application QoS.
Description
Date
2012-01-01
Journal Title
Journal ISSN
Volume Title
Publisher
Collections
Theses & Dissertations
Show all metadata
Download Dataset
Files
Thumbnail Image
3533681.pdf
Adobe PDF, 3.72 MB
Rights Holder
Usage License
Embargo
Research Projects
Organizational Units
Journal Issue
Keywords
Citation
Advisor
Zhou, Gang
Wang, Haining
Department
Computer Science
DOI
https://dx.doi.org/doi:10.21220/s2-haez-0y29
URI
https://scholarworks.wm.edu/handle/internal/5707
Embedded videos