A Comprehensive Framework for IoT-based Item Tracking: Integrating Load Distribution, Error Handling, and Security Measures
Yash Jani, Arth Jani · 2024
The growing complexity and scale of the Internet of Things (IoT) have made efficient and secure item-tracking systems essential across industries. This paper presents a comprehensive framework integrating real-time item tracking with critical components such as load distribution, error handling, and security measures. The system continuously monitors item locations and statuses by leveraging IoT devices like RFID tags, GPS trackers, and sensors, ensuring accurate, real-time data collection. The framework incorporates data gateways, stream processing engines, and scalable databases to manage large-scale operations while balancing computational loads and preventing bottlenecks. Robust error-handling protocols and fallback mechanisms ensure system resilience during failures. The system's security framework, including encryption and access control, protects sensitive data and ensures compliance with industry standards. This architecture addresses the critical challenges of scalability, reliability, and security in IoT-based item tracking, providing a flexible solution for large-scale deployments across various sectors.