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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2011 |
| Pages | 61-70 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2011 Nov 21 |
| Externally published | Yes |
| Event | 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2011 - Ann Arbor, MI, United States Duration: 2011 Oct 4 → 2011 Oct 6 |
Other
| Other | 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2011 |
|---|---|
| Country | United States |
| City | Ann Arbor, MI |
| Period | 11/10/4 → 11/10/6 |
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Keywords
- autonomic
- self-adapting
- task allocation
- wireless sensor network
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering
Cite this
Autonomic role and mission allocation framework for wireless sensor networks. / Bourdenas, Themistoklis; Tei, Kenji; Honiden, Shinichi; Sloman, Morris.
Proceedings - 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2011. 2011. p. 61-70 6063488.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Autonomic role and mission allocation framework for wireless sensor networks
AU - Bourdenas, Themistoklis
AU - Tei, Kenji
AU - Honiden, Shinichi
AU - Sloman, Morris
PY - 2011/11/21
Y1 - 2011/11/21
N2 - 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.
AB - 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.
KW - autonomic
KW - self-adapting
KW - task allocation
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=81255209255&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81255209255&partnerID=8YFLogxK
U2 - 10.1109/SASO.2011.17
DO - 10.1109/SASO.2011.17
M3 - Conference contribution
AN - SCOPUS:81255209255
SN - 9780769545424
SP - 61
EP - 70
BT - Proceedings - 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2011
ER -