Smart Campus Management

This project aims to construct a comprehensive crisis management framework on campus, facilitating real-time data collection and communication across a diverse IoT network while enabling a range of smart city applications for the campus community.

During crises, such as natural catastrophes or pandemics, conventional IoT installations sometimes face challenges with sustaining connectivity and sending crucial information. Our concept introduces a strong network model specifically designed for smart campuses, thereby taking on this challenge head-on. Our strategy is straightforward but effective: to enable real-time data gathering and communication throughout the campus, our methodology includes IoT Network Design and Deployment and ML-Based Anomaly Detection.

Selecting the appropriate hardware and communication protocols for IoT networks poses significant challenges. Hardware choices, such as Raspberry Pi, Arduino, and NVidia boards, must align with the system’s requirements and capabilities. Similarly, communication protocols, spanning from IEEE 802.11 to Bluetooth and LoRA, vary in terms of QoS and reliability, requiring careful consideration to ensure efficient communication within the network. The quality and efficiency of the system are heavily influenced by protocol selection and implementation. Balancing resource consumption, latency, and reliability is crucial for optimal performance. Moreover, in a heterogeneous network like ours, where nodes and access technologies vary significantly, leveraging software virtualization tools becomes essential to maintaining compatibility across platforms.

Furthermore, at the core of our IoT infrastructure lie anomaly detection algorithms tasked with real-time data processing. Anomaly detection is inherently challenging, as it aims to identify abnormal situations across various sensor observations. We employ an advanced two-tier anomaly detection system, utilizing TinyML and Edge Intelligence. The below figure shows the monitoring scenario where there are multiple potential anomalies.

The importance of our concept is found in its capacity to guarantee uninterrupted communication and data transfer, even in the case of infrastructure breakdown. We improve the adaptability and durability of crisis management activities at smart campuses by integrating UAVs into our IoT network. These unmanned aerial vehicles are essential for exchanging information, which facilitates quick and well-informed decision-making in emergency situations.