![]() |
CiteULike | ![]() |
shtrom's CiteULike | ![]() |
![]() |
|
![]() |
Register | ![]() |
Log in | ![]() |
Predictive context aware mobility handlingedited by: Andrei GurtovInternational Conference on Telecommunications, IEEE In ICT 2008, 15th IEEE International Conference on Telecommunications (2008), pp. 1-6.
|
Reviews
[Write a review of this article]
Notes for this articleShim layer in section III
Use WHOIS queries to unify address blocks (but is it really valid for a mobile CN?)
Check Gaussian Process Regression
References to check: 4,5,6
Shim layer in section III Use WHOIS queries to unify address blocks (but is it really valid for a mobile CN?) Check Gaussian Process Regression References to check: 4,5,6
Find related articles from these CiteULike users
Find related articles with these CiteULike tags
Posting History
AbstractThe handling of device multi-homing and mobility, such as deciding which network interface to use or when to perform vertical handoff between network interfaces, can be greatly enhanced by considering recent context information. We describe a system for context aware multi-homing and mobility handling which enacts network interface allocation and handoff decisions based on the predicted characteristics of transport layer sockets and network interfaces. Predictions are made using a statistical machine learning technique which can utilise simple context data such as time-of-day and GPS co-ordinates, as well as more complex contextual information such as nearby Bluetooth beacons and internal system state. We present a prototype implementation of the described system and show via experimentation that it enables more timely mobility handling without requiring changes to either applications or to the underlying operating system.
BibTeX record
RIS record