DocumentCode
2104871
Title
Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks
Author
Bourdenas, Themistoklis ; Tei, Kenji ; Honiden, Shinichi ; Sloman, Morris
Author_Institution
Dept. of Comput., Imperial Coll. London, London, UK
fYear
2011
fDate
3-7 Oct. 2011
Firstpage
61
Lastpage
70
Abstract
Pervasive applications incorporate physical components that are exposed to everyday use and a large number of conditions and external factors that can lead to faults and failures. It is also possible that application requirements change during deployment and the network needs to adapt to a new context. Consequently, pervasive systems must be capable to autonomically adapt to changing conditions without involving users becoming a transparent asset in the environment. In this paper, we present an autonomic mechanism for initial task assignment in sensor networks, an NP-hard problem. We also study on-line adaptation of the original deployment which considers real-time metrics for maximising utility and lifetime of applications and smooth service degradation in the face of component failures.
Keywords
fault tolerant computing; optimisation; telecommunication network reliability; ubiquitous computing; wireless sensor networks; NP-hard problem; autonomic mechanism; autonomic role; component failures; external factors; initial task assignment; mission allocation framework; online adaptation; pervasive applications; pervasive systems; physical components; real-time metrics; smooth service degradation; transparent asset; wireless sensor networks; Acceleration; Accelerometers; Computer architecture; Equations; Monitoring; Resource management; Temperature sensors; autonomic; self-adapting; task allocation; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems (SASO), 2011 Fifth IEEE International Conference on
Conference_Location
Ann Arbor, MI
ISSN
1949-3673
Print_ISBN
978-1-4577-1614-0
Electronic_ISBN
1949-3673
Type
conf
DOI
10.1109/SASO.2011.17
Filename
6063488
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