A semantic sensor web framework for proactive environmental monitoring and control.
Jude A. Adeleke · ResearchSpace (University of KwaZulu-Natal) · 2017
Observing and monitoring of the natural and built environments is crucial for maintaining and preserving human life.Environmental monitoring applications typically incorporate some sensor technology to continually observe specific features of interest in the physical environment and transmitting data emanating from these sensors to a computing system for analysis.Semantic Sensor Web technology supports semantic enrichment of sensor data and provides expressive analytic techniques for data fusion, situation detection and situation analysis.Despite the promising successes of the Semantic Sensor Web technology, current Semantic Sensor Web frameworks are typically focused at developing applications for detecting and reacting to situations detected from current or past observations.While these reactive applications provide a quick response to detected situations to minimize adverse effects, they are limited when it comes to anticipating future adverse situations and determining proactive control actions to prevent or mitigate these situations.Most current Semantic Sensor Web frameworks lack two essential mechanisms required to achieve proactive control, namely, mechanisms for anticipating the future and coherent mechanisms for consistent decision processing and planning.Designing and developing proactive monitoring and control Semantic Sensor Web applications is challenging.It requires incorporating and integrating different techniques for supporting situation detection, situation prediction, decision making and planning in a coherent framework.This research proposes a coherent Semantic Sensor Web framework for proactive monitoring and control.It incorporates ontology