TY - JOUR
T1 - Building wireless sensor network applications with LooCI
AU - Hughes, Daniel
AU - Thoelen, Klaas
AU - Horré, Wouter
AU - Matthys, Nelson
AU - Del Cid, Javier
AU - Michiels, Sam
AU - Huygens, Christophe
AU - Joosen, Wouter
AU - Ueyama, Jó
N1 - Funding Information:
Dr. Danny Hughes and Dr. Jo Ueyama would like to thank FAPESP for funding the case-study elements of this research project (Process ID 08/05346-4 and 09/01881-5).
Funding Information:
Research for this paper was partially funded by IMEC and the Instituut voor de Aanmoeding van Innovatie door Wetenschap en Technologie in Vlaanderen (IWT). This research is conducted in the context of the IWT-STADIUM project No. 80037 (IWT Stadium Project 80037, n.d.). Wouter Horré is a PhD fellow of the Research Foundation – Flanders (FWO).
PY - 2010/10
Y1 - 2010/10
N2 - Considerable research has been performed in applying run-time reconfigurable component models to the domain of wireless sensor networks. The ability to dynamically deploy and reconfigure software components has clear advantages in sensor networks, which are typically large in scale and expected to operate for long periods in the face of node mobility, dynamic environmental conditions, and changing application requirements. LooCI is a component and binding model that is optimized for use in resource-constrained environments such as Wireless Sensor Networks. LooCI components use a novel event-based binding model that allows developers to model rich component interactions, while providing support for run-time reconfiguration, reflection, and policy-based management. This paper reports on the design of LooCI and describes a prototype implementation for the Sun SPOT. This platform is then evaluated in context of a real-world river monitoring and warning scenario in the city of São Carlos, Brazil.
AB - Considerable research has been performed in applying run-time reconfigurable component models to the domain of wireless sensor networks. The ability to dynamically deploy and reconfigure software components has clear advantages in sensor networks, which are typically large in scale and expected to operate for long periods in the face of node mobility, dynamic environmental conditions, and changing application requirements. LooCI is a component and binding model that is optimized for use in resource-constrained environments such as Wireless Sensor Networks. LooCI components use a novel event-based binding model that allows developers to model rich component interactions, while providing support for run-time reconfiguration, reflection, and policy-based management. This paper reports on the design of LooCI and describes a prototype implementation for the Sun SPOT. This platform is then evaluated in context of a real-world river monitoring and warning scenario in the city of São Carlos, Brazil.
KW - Component based software engineering
KW - Environmental monitoring
KW - LooCI
KW - Policy-based management
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/79953091983
U2 - 10.4018/jmcmc.2010100103
DO - 10.4018/jmcmc.2010100103
M3 - Article
AN - SCOPUS:79953091983
SN - 1937-9412
VL - 2
SP - 38
EP - 64
JO - International Journal of Mobile Computing and Multimedia Communications
JF - International Journal of Mobile Computing and Multimedia Communications
IS - 4
ER -