Context-Aware Indoor Environment Monitoring and Plant Prediction Using Wireless Sensor Network

Abstract

Remote sensor networks are a flexible innovation that deals the capacity to observe thorough actual occurrences as well as a wide-range environment where physical frameworks are considered unsuitable and costly. This study presents the context-aware based remote sensing network (remote or wireless sensor networks or WSN uses alternatively in this paper) for indoor ecological observing at home. Indoor environs atmosphere as well as stability among occupant’s well-being and predicting plants are the principles of this proposed framework. The introduced framework comprises of various sensor gadgets simultaneously evaluating temperature, relative humidity via mobile sensors, illumination, carbon dioxide CO2, oxygen O2 and benzene C6H6 levels in separate spaces. This study also exhibits the framework structure, the context-aware lifecycle and the context modeling and reasoning architectures for observing the environment.