DocumentCode :
3159541
Title :
A Graph Based Approach to Supporting Reconfiguration in Wireless Sensor Networks
Author :
Horre, W. ; Lee, Kevin ; Hughes, Danny ; Michiels, Sam ; Joosen, Wouter
Author_Institution :
Distrinet, Katholieke Univ. Leuven, Leuven, Belgium
fYear :
2009
fDate :
27-29 Dec. 2009
Firstpage :
326
Lastpage :
331
Abstract :
Considerable research has been performed in applying run-time reconfigurable component models to Wireless Sensor Networks. The ability to dynamically deploy or update software components has clear advantages in sensor network deployments, which are typically large in scale and expected to operate for long periods in dynamic environments. Realizing distributed reconfiguration in Wireless Sensor Networks is complicated by the inherently asynchronous and unreliable nature of these systems. In such an environment, achieving quiescence is both costly and impossible to guarantee. Additionally, the success of reconfiguration actions cannot be determined with certainty. This paper advocates for a hierarchical, adaptive, graph-based approach to supporting reconfiguration. We argue that application developers should specify only high level reconfiguration graphs, which are then compiled, partitioned and enacted in an adaptive manner by a context aware distributed reconfiguration engine.
Keywords :
distributed processing; graph theory; ubiquitous computing; wireless sensor networks; context aware distributed reconfiguration; graph based approach; wireless sensor network; Biomedical monitoring; Business communication; Context awareness; Engines; Large-scale systems; Runtime; Scalability; Temperature measurement; Temperature sensors; Wireless sensor networks; Scientific Workflows; Software Deployment; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks and Communications, 2009. NETCOM '09. First International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-5364-1
Electronic_ISBN :
978-0-7695-3924-9
Type :
conf
DOI :
10.1109/NetCoM.2009.18
Filename :
5383967
Link To Document :
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