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Design and Evaluation of Indoor Positioning System for User Access Management in Data Center

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One critical point in data center management from the physical security perspective (according to ISO 27001 standards) is the management of user access and traffic. Physical security could be improved through the implementation of indoor positioning with a real-time monitoring system. Other than security needs, the information provided could be used for emergency evacuation purposes in a disastrous situation. Presently, indoor positioning is principally based on wireless signals, such as WiFi, RFID, Zigbee, Bluetooth, etc. This study designs a user access management system in the Data Center using indoor - positioning. For the indoor positioning method, k-Nearest Neighbor (kNN) and Fuzzy k-Nearest Neighbor (FkNN) algorithms and Kalman Filter implementation are evaluated. The simulation result shows that the proposed method can improve the positioning accuracy until 8% compared to the existing method.
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Bluetooth Low Energy; Indoor Positioning; Kalman Filter; Fuzzy kNN; RSSI

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