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Building Wireless Sensor Network Applications with LooCI
Author(s) -
Daniel Hughes,
Klaas Thoelen,
Wouter Horré,
Nelson Matthys,
Javier Del Cid,
Sam Michiels,
Christophe Huygens,
Wouter Joosen,
Jó Ueyama
Publication year - 2010
Publication title -
international journal of mobile computing and multimedia communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 10
eISSN - 1937-9404
pISSN - 1937-9412
DOI - 10.4018/jmcmc.2010100103
Subject(s) - computer science , wireless sensor network , component (thermodynamics) , control reconfiguration , context (archaeology) , key distribution in wireless sensor networks , event (particle physics) , node (physics) , wireless , wireless network , component based software engineering , domain (mathematical analysis) , real time computing , software , distributed computing , computer network , embedded system , software system , telecommunications , operating system , paleontology , mathematical analysis , physics , mathematics , structural engineering , quantum mechanics , biology , engineering , thermodynamics
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.

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