WSN Based Spatial Process Monitoring And Analysis System
Spatial processes are activities where different parameters change with respect to time in a given region or area.
Study of the behavior of these processes can be effectively used to gather data and their inter-relation with other parameters.
This paper mainly focuses on spatial process parameters such as air quality and temperature and sensing those with available
low power and cost effective electronic techniques. The resolution and efficiency can be increased by connecting these
sensors wirelessly as sensor networks with the help of low power RF modules. Adding the concept of Internet of Things,
data collected can be made available to data scientists or researchers to effectively work on this data to improve the quality
of the social environment. Geo-referenced visualization will effectively help to compare the location based data. This paper
also reviews all the different types of sensors that can be used for sensing temperature and air quality.
Keywords - Spatial process, sensors, Nrf24l01, Internet of Things.