Machine-to-Machine Communication: Development of a Subscriber Tracking System for a Given Area

Abstract

This paper defines the problem and offers solutions to calibrate the location estimation in the Machine-to-Machine (M2M) system to a given scale set out in the customer specifications. The authors developed the classification of subscriber location tasks depending on practical application. The choice of tasks is process-based and proceeds without human participation. The solutions of such problems are in demand within the smart city paradigm.