AnIoTbasedSmartPositioningandDecisionManagementApplicationwithRealTime Kinematics Information

Abstract

An IoT based smart positioning measures are useful to the society for accurate mapping of boundaries and to do the localization of geo graphical area. The existing approach uses GNSS technologies, and the boundary values can be improved further by applying advanced technique. In this paper, a novel approach for optimization of the positioning technique is proposed. A digitalclassificationandoptimizationofareamapping,enhancementofcorrelationdata,analysis through expert system and clustering of delineation zones using machine learning algorithm is implemented as part of the solution. The precision accuracy optimization is achieved by error correction of zonal map boundaries obtained through GNSS satellite system. The real time kinematicstechniqueisappliedtoachievethebetteraccuracy.Theexperimentiscarriedoutatin real time at Nagamangala region and real time data received from the radio frequency sensors, satellites areanalysed, calibrated, and improved further to obtain the precision accuracy up to 99.9% with the accuracy of 2mm.The proposed solution is useful in real time sectors to manage the data related to real time tracking, safety critical applications, health care, military, mining, geological surveys, and agricultural applications.