Decentralized data storage and processing for IoT devices is an emerging paradigm that aims to address the challenges of managing and analyzing vast amounts of data generated by IoT devices. This approach involves distributing data storage and computational capabilities across a network of devices, enabling efficient and scalable data management. By leveraging edge computing, distributed storage systems, peer-to-peer networking, and advanced data processing techniques, decentralized architectures offer benefits such as improved data availability, reduced latency, fault tolerance, and enhanced privacy. However, decentralized systems also present challenges related to scalability, data security, data consistency, and network connectivity. This article highlights its advantages, key components, and challenges. The adoption of decentralized approaches holds significant potential to unlock the full capabilities of IoT devices, enabling real-time analytics, enhanced decision-making, and the development of innovative IoT applications.

IoT applications, decentralized systems, data storage