SURVEY ON INDOOR LOCALIZATION: EVALUATION PERFORMANCE OF BLUETOOTH LOW ENERGY AND FINGERPRINTING BASED INDOOR LOCALIZATION SYSTEM

Location-based systems are significantly trending issue in IoT fields, as it comes up with services such as navigation and direction to use it for guiding those in need of assistance. While GPS provides reliable outdoor localization, indoor localization system is still challenging and many technologies have been proposed. Indoor localization systems are being developed since last two decades, by making use of radio frequency, ultrasound or infrared based signal and other technical advancements in IoT, to provide location and navigation service to the users. However, most of them rely on customized hardware or presume some dedicated infrastructure. The main objective of this survey paper is to provide the reader with a review of the main technologies explored in the literature to solve any indoor localization issues. Moreover, some of the common used indoor localization algorithms along with their measurement methods for position estimation in indoor environments are presented and discussed. Finally, one of the localization algorithms, fingerprinting algorithm based BLE indoor localization scenario will be discussed.