2 research outputs found

    Context-Aware System for Indoor Localization

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    User location is an important information to provide personalized service in any domain of interest. In this paper, we present a context-aware system to find location of a user at office domain. Hence, smartphone of the user transmits Wi-Fi signal and our system identifies the user by matching MAC address of the smartphone. Wi-Fi signal strength is used to calculate the distance of user from office room. Additionally, PIR sensor value and office time are used to increase localization accuracy as well as minimize the conflict of user location. Raspberry pi 3, a low-cost embedded platform, is used to collect and process sensed information, generate low-level context, and reason user location from available contexts. Demonstration result of our system shows an excellent performance within our domain of interest

    An IoT-oriented fast prototyping platform for BLE-based star topology networks

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    The Internet of Things (IoT) is characterized by many technologies, standards, tools and devices for a wide range of application fields and often, for the end-users (makers and developers), is hard to orientate in an equally wide range of offers from various manufacturers. In recent years, the Bluetooth Low Energy (BLE) communication protocol is achieving a large portion of the market, thanks to its low-power and low-cost orientation and its pervasiveness in mobile devices, like smartphones. For these reasons, BLE is increasingly used in IoT-oriented Wireless Personal Area Networks (WPAN), where a small set of devices arranged in star topology network and connected to a smartphone and a Wi-Fi gateway, can cover a large number of monitoring and controlling use case scenarios. This work presents the ST’s STM32 Open Development Environment (ODE), a complete suite of hardware and software tools representing a reference point for end-users willing to create BLE-based star topology networks for a wide range of applications. Through a simple use case in a smart home context, it is shown how all provided tools can be used to fast prototype applications addressing all user requirements
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