An Elastic IoT Device Management Platform
Rakesh Dhakshina Murthy, Mingming Liu

TL;DR
This paper introduces a scalable IoT device management testbed designed for heterogeneous devices, enabling efficient testing, remote monitoring, and secure control for small to medium-scale IoT applications.
Contribution
It presents a novel, scalable testbed architecture tailored for heterogeneous IoT devices, facilitating easier development, testing, and troubleshooting of IoT applications.
Findings
Successfully tested the prototype under various conditions.
Demonstrated secure remote monitoring and control capabilities.
Showed compatibility with diverse IoT hardware and software.
Abstract
With the recent advancement of technologies over the past year, IoT has become a paradigm in which devices communicate with each other and the cloud to achieve various applications in multidisciplinary fields. However, developing, deploying, and experimenting with IoT applications are still tedious, expensive, and time-consuming due to the factors like heterogeneity of hardware and software. This is where an IoT testbed plays a vital role in aiding developers to test their applications without being deploying it to the target environment. In this paper, we present a testbed that is scalable for heterogeneous devices and mainly focused on a small scale and medium scale IoT application. This testbed would be best suited for testing applications which demand robust nature, remote monitoring and control, incorporation of heterogeneous devices, location tracking of devices, and easy…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Energy Efficient Wireless Sensor Networks
