Remote sensing based on time variance control in configurable area partitioning

In this paper, a sensor data fusion approach for characteristics field monitoring, based on time variance control model, is proposed. Distributed sensing and remote processing are the basic features of the employed architecture. In fact, in order to obtain meaningful information about the temporal and spatial variations, which characterize the field levels of some characteristics (electromagnetic, air pollution, seismic, etc.), a distributed network of wireless and mobile smart sensors has been designed. Starting from the partitioned configuration of monitored geographic areas, this model allows taking into account the different levels of degradation over time in the sensors' performances associated with the different geographic partitions, progressively increasing the severity of the control. To this end, through the introduction of a reliability curve, a revised traditional control chart for variables is proposed. The proposed approach, further constituting an element of the scientific debate, aims to be a useful operational tool for professionals and managers employed in environmental control.