Comparison of RSSI techniques in Wireless Indoor Geolocation

Geolocation is the identification of the geographic location of any object or device. Indoor Geolocation can be seen as an alternative for Global Positioning System as, GPS fails in an indoor area. As an emerging technology there are two main classes of infrastructure based on which these systems are built. There are basic challenges which these systems have to face and they include the signaling systems, cost of deployment, and accuracy of prediction, pattern recognition and use of signature databases. The use of appropriate methods with proper estimation values gives better accuracy. There are various methods depending on which these systems are implemented. Indoor Geolocation has various techniques to determine the position of the object. This paper has a comparative study of the two main techniques of RSSI. Also a design for one of the applications of Indoor Geolocation i.e. a system that can be implemented for a medical store has been proposed. The basic aim is to find the RSSI value based on which the mobile station can be located. The RSSI values can be modified for any changes in the environment. An algorithm that combines the best features of the calibration procedures, fingerprinting techniques and pattern recognition helps to implement the system with best accuracy in results. For different applications, the values the various methods of determination can be selected as per requirements.