| Autor: |
Serdaroglu, KC, Baydere, S |
| Přispěvatelé: |
Serdaroglu, K.C., Baydere, S., Yeditepe Üniversitesi, Serdaroglu, KC, Baydere, S |
| Jazyk: |
turečtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
Publish-Subscribe(P/S) based sensor monitoring systems provide different quality-of-service according to clientserver policies. Using adaptive timing and data freshness models may increase the flexibility of services in these systems. In this paper, we propose two timing models for sensor network based emergency detection P/S Systems in which the timing constraints and data freshness can be dynamically adjusted for user needs. The performance of these models is tested in a real testbed setup. The experimental results reveal that the proposed models can meet the timing and data freshness demands of the clients for applications which acquire physical data from scalar sensors with 2-10s sampling rates. © 2018 IEEE. Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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