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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127513


    Title: Integration of LoRa-enabled IoT infrastructure for advanced campus safety systems in Taiwan
    Authors: Liao, Shu-Han;Jiang, Jheng-Da;Yang, Cheng-Fu
    Keywords: Internet of Things (IoT), Advanced campus;Long range (LoRa) technology;Bluetooth low energy beacons;Intelligent cities;Real-time telemetry
    Date: 2024-08-27
    Issue Date: 2025-07-21 12:05:40 (UTC+8)
    Publisher: Elsevier
    Abstract: Amid rising concerns about campus safety in Taiwan, particularly with the global trend towards smart cities, integrating the Internet of Things (IoT) into institutional security frameworks has become pivotal. The paper discusses the implementation of using iBeacons and Long Range (LoRa) technology to locating the student position and ensure his safety in the school campus. It uses Internet of Things (IoT) approach in real time to monitor and locate the student presence in the school compound. This paper unveils an innovative design for a campus security system that harnesses the LoRa technology. In the system, the students are equipped with devices containing Bluetooth Low Energy (BLE) beacons to capture and transmit real-time location data. The system response time to locating student in abnormal locations such as cornered and concealed areas is about one second. By extending this system to cover all individuals on campus, a closely monitored environment and areas is enabled that significantly bolstering the security measures. This not only furnishes a dynamic protective layer for educational institutions but also serves as a proactive deterrent against potential security breaches. Ultimately, this research underscores the transformative potential of merging IoT with campus security to ushering in a new era of student safety. LoRa technology offers advantages in battery life, cost-effectiveness, deployment flexibility, and network coverage etc. Therefore, this paper ultimately provides a method of how to utilize the LoRa technology to develop a campus security system. Unlike artificial intelligence (AI)-based image recognition, which raises concerns about privacy and human rights; the features of LoRa’s long-range communication and low power consumption make it a more suitable choice.
    Relation: Internet of Things 28, 101347
    DOI: 10.1016/j.iot.2024.101347
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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