Efficient Management, Control and Analysis of IoT-NDN Devices through “NDN4IoT” App Integrated with FIWARE

Abstract

The development of mobile applications for IoT systems has become increasingly important due to their ability to provide remote control, monitoring, and efficient analysis of device data for effective device management and decision-making. In recent years, the research on Named Data Networking (NDN) for IoT systems has focused on addressing challenges such as device heterogeneity, network scalability, data privacy, and efficient communication protocols for IoT-NDN devices. This paper presents the design of an app called “NDN4IoT” that enables remote management, control, and observation of IoT devices that utilize NDN technology. The app is integrated with the FIWARE IoT platform, which allows for the retrieval and storage of log information from the IoT-NDN devices. This log information can be used for critical data analysis and decision-making purposes before device failure. The proposed app design provides a user-friendly interface that enables efficient management and monitoring of the IoT-NDN devices remotely. This solution addresses the challenges of managing and controlling IoT devices, specifically those utilizing NDN technology, and enables efficient use of log data for analysis and decision-making purposes.