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
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;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2011 Fifth IEEE International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4577-1614-0
Electronic_ISBN :
1949-3673
DOI :
10.1109/SASO.2011.17