The goal of this master's thesis was to determine the optimal communication method for locating elderly using a portable device. We focused on minimizing energy consumption while ensuring that the device periodically sends the person’s location and allowing for quick action in case of an emergency. We developed an algorithm that dynamically adjusts communication protocols based on the circumstances and needs of the user. Technologies such as BLE for communication within the home environment, NB-IoT for remote connectivity, and GNSS for accurate positioning were utilized. Additionally, we integrated various sensors that help approximate the location when GNSS is unavailable. The algorithm dynamically switches between different operating modes and based on sensor readings, determines the frequency of communication and location updates, ensuring an optimal balance between functionality and energy efficiency. We also explored different body placement options for the device to ensure optimal activity measurement. The contribution of this thesis is significant, as the device, with its long battery life and reliable performance, enhances the quality of life for elderly, increases their independence, and reduces concerns for their loved ones by providing alerts in case of an emergency.
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