#RADBEACON CALIBRATION BLUETOOTH#
In particular, datasets providing Received Signal Strength (RSS) data obtained with technologies such as WiFi and RFID are widely available, while only few datasets provide data obtained with more recent technologies such as Bluetooth Low Energy (BLE). However, in most cases, such datasets focus on a specific measurement method and established technologies. For this reason, researchers produce datasets that can be freely used for experimentation, and several competitions on indoor localization also offer the opportunity for researchers to test and compare their solutions, and to produce additional datasets. Since the very early period of research in the field, it became evident that the evaluation and comparison of different indoor localization solutions and technologies require experimentation in real environments with real equipment and users, with ensuing high costs for the setup and maintenance for the experimental testbeds. Currently, indoor localization is a live and active research area as witnessed by the large number of related publications and events. The need for wide-spread and low-cost solutions for indoor localization has pushed the research towards new technologies, solutions and algorithms. At the same time, raw localization data have also been used to infer information about social interactions among people, and this use of localization data is gaining more and more attention, because of its potential use in online social networks (such as Facebook, Google+ or Twitter), mobile social networking or mobile crowdsensing, where it can contribute to add a physical level of sociality in worlds that, up to now, had only been virtual. In this scenario, indoor localization plays a key role since it is a main enabler for location-based services that deliver services at the right time in the right place and that can thus better assist people in both their ordinary and extra-ordinary activities. The massive introduction of Internet of Things devices on the market-it is expected that a population of over 50 billions of devices will be connected to the Internet by 2020 -and the consequent widespread availability of wearable cyber-physical devices opens new ways of delivering services to people.
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