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A semantic middleware for autonomic wireless sensor networks
| Content Provider | ACM Digital Library |
|---|---|
| Author | Delicato, Flávia C. da Rocha, Atslands R. Pirmez, Luci Gomes, Danielo G. de Souza, José Neuman |
| Abstract | In this paper we present a proposal that combines the benefits of autonomic and semantic sensor networks to build a semantic middleware for autonomic wireless sensor networks. The key feature of the proposed middleware is a rule-based reasoning engine based on ontology and fuzzy logic. We also propose a semantic-aware topology control based on computing semantic neighborhoods relationships. The middleware was tailored to provide support for Structural Health Monitoring applications. However, it has a flexible architecture and it can be extensible to several other application domains such as ambient intelligence, habitat monitoring and fire detection. We use the oil platform structural health monitoring domain as a case study. The paper presents the middleware architecture and the proposed ontologies. |
| Starting Page | 19 |
| Ending Page | 25 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781605585321 |
| DOI | 10.1145/1551693.1551697 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-06-16 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Wireless sensor networks middleware Topology control Semantics-aware Structural health monitoring Autonomic computing |
| Content Type | Text |
| Resource Type | Article |
