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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Omari, S. Weisong Shi |
| Copyright Year | 2007 |
| Description | Author affiliation: Wayne State Univ., Detroit (Al-Omari, S.; Weisong Shi) |
| Abstract | Availability analysis and modeling in autonomous and remotely administered systems that are composed of cheap and failure-prone components is vital to redundancy management, which includes the prediction of the required number of components and the way these components are scheduled ON and OFF. Targeting the application of wireless sensor networks for the monitoring of elder people living in their apartments, we use techniques from reliability theory to model the WSN as a kappa-out-of m system with independent components. In addition to predicting the required redundancy to meet the desired availability behavior early in the planning phase, we show that scheduling these nodes ON and OFF later on in the operational phase does indeed improve availability over the entire system lifetime. To validate our model, we design a simulator using nesC/TOSSIM. Our analytical and experimental results show that using node scheduling almost doubles the expected WSN total uptime. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 4603807 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424414543 |
| DOI | 10.1109/MOBHOC.2007.4428654 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-08 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Availability Condition monitoring Wireless sensor networks Redundancy Failure analysis Predictive models Reliability theory Meeting planning Topology Remote monitoring |
| Content Type | Text |
| Resource Type | Article |
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