Paper Info
Title
An empirical study of link quality estimation techniques for disconnection detection in WBANs
Abstract
Sensor nodes in many Wireless Body Area Network (WBAN) architectures are supposed to deliver sensed data to a gateway node on the body. To satisfy the data delivery requirements, the network needs to adapt itself to the changes in connection status of the body nodes to the gateway. As a prerequisite, Link Quality Estimation (LQE) needs to be done to detect the connection status of the nodes. The quality of links in WBANs is highly time-varying. The LQE technique should be agile to react fast to such link quality dynamics while avoiding frequent fluctuations to reduce the network adaptation overhead. In this paper, we present an empirical study on using different LQE methods for detecting the connection status of body nodes to the gateway in WBANs. A set of experiments using 16 wireless motes deployed on a body are performed to log the behavior of the wireless links. We explore the trade-offs made by each LQE method in terms of agility, stability, and reliability in detecting connection changes by analyzing the experimental data. Moreover, different LQE methods are used in an adaptive multi-hop WBAN mechanism, as a case study, and their impact on the Quality-of-Services (QoS) are investigated.
Year
DOI
Venue
2013
10.1145/2507924.2507959
MSWiM
Keywords
Field
DocType
connection status,link quality estimation technique,lqe method,data delivery requirement,experimental data,empirical study,disconnection detection,body node,gateway node,different lqe method,adaptive multi-hop wban mechanism,connection change,lqe technique,electronics,quality of service,wireless body area network
Wireless,Computer science,Computer network,Quality of service,Agile software development,Default gateway,Body area network,Disconnection,Empirical research,Network adaptation
Conference
Citations 
PageRank 
References 
1
0.37
15
Authors
3
Name
Order
Citations
PageRank
Majid Nabi16611.65
Marc Geilen2134684.30
Twan Basten31833132.45