Design of smart sensing components for volcano monitoring
| Autor: | Andy Ma, Michael V. Miceli, Richard G. LaHusen, Behrooz Shirazi, Devin McBride, Yang Peng, Nina Peterson, Lohith Anusuya-Rangappa, Wen-Zhan Song, Mingsen Xu, Renjie Huang, Aaron Kiely |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Philosophy of design
Situation awareness Computer Networks and Communications Computer science Node (networking) Real-time computing Computer Science Applications Resource (project management) Hardware and Architecture Data quality Component (UML) Raw data Wireless sensor network Software Information Systems |
| Zdroj: | Pervasive and Mobile Computing. 5:639-653 |
| ISSN: | 1574-1192 |
| DOI: | 10.1016/j.pmcj.2009.06.004 |
| Popis: | In a volcano monitoring application, various geophysical and geochemical sensors generate continuous high-fidelity data, and there is a compelling need for real-time raw data for volcano eruption prediction research. It requires the network to support network synchronized sampling, online configurable sensing and situation awareness, which pose significant challenges on sensing component design. Ideally, the resource usages shall be driven by the environment and node situations, and the data quality is optimized under resource constraints. In this paper, we present our smart sensing component design, including hybrid time synchronization, configurable sensing, and situation awareness. Both design details and evaluation results are presented to show their efficiency. Although the presented design is for a volcano monitoring application, its design philosophy and framework can also apply to other similar applications and platforms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect