International Conference on Electronics, Information and Communication Engineering (EICE 2012)
169 A Sampling Interval Change Based on Scenario in Air Pollution Monitoring System
Download citation file:
- Ris (Zotero)
- Reference Manager
Environmental monitoring is required for understanding various kinds of phenomena and preventing natural disasters. Geosensor networks are employed for detecting environmental precursor conditions, context models for understanding phenomena, and computing technology for processing large volumes of data in real-time. In this paper, we present an SSI (Self-Adjusting Sampling Intervals), which is a scenario-based control mechanism for adjusting the sampling interval in a centralized system. We demonstrate SSI on behalf of an air quality monitoring systems; here, the sampling interval is changed based on the context of derived dangerous levels of air pollution. Whenever the level is low, sampling intervals are extended. It allows reducing collected observed data effectively and thus, save geosensor energy.