TY  - CONF
ID  - lombriser07a
T1  - Titan: A Tiny Task Network for Dynamically Reconfigurable Heterogeneous Sensor Networks
A1  - Lombriser, Clemens
A1  - Roggen, Daniel
A1  - Stäger, Mathias
A1  - Tröster, Gerhard
TI  - 15. Fachtagung Kommunikation in Verteilten Systemen (KiVS)
T3  - Informatik aktuell
Y1  - 2007
SP  - 127
EP  - 138
PB  - Springer
M2  - doi: 10.1007/978-3-540-69962-0_11
KW  - e-SENSE
KW  - TinyOS
KW  - Titan
N2  - Context recognition, such as gesture or activity recognition, is a key mechanism that enables ubiquitous computing systems to proactively support users. It becomes challenging in unconstrained environments such as those encountered in daily living, where it has to deal with heterogeneous networks, changing sensor availability, communication capabilities, and available processing power. 

This paper describes Titan, a new framework that is specifically designed to perform context recognition in such dynamic sensor networks. Context recognition algorithms are represented by interconnected data processing tasks forming a task network.
Titan adapts to different context recognition algorithms by dynamically reconfiguring individual sensor nodes to update the network wide algorithm execution.

We demonstrate the applicability of Titan for activity recognition on Tmote Sky sensor nodes and show that Titan is able to perform processing of sensor data sampled at 100 Hz and can reconfigure a sensor node in less than 1ms. This results in a better tradeoff between computational speed and dynamic reconfiguration time.
ER  -