Survey of IoT Platforms and Tools
Lecturer, Department of Computer Science and Engineering, Government Polytechnic, karatagi -583229, Karnataka India.
Review Article
World Journal of Advanced Research and Reviews, 2022, 13(01), 901-907
Publication history:
Received on 09 January 2022; revised on 19 January 2022; accepted on 28 January 2022
Abstract:
The Internet of Things (IoT) has revolutionized the way physical devices interact with digital systems, creating unprecedented opportunities for automation, monitoring, and intelligent decision-making across diverse domains. This survey paper provides a comprehensive examination of IoT platforms and tools available prior to 2020, analyzing both commercial and open source solutions that form the foundation of modern IoT ecosystems. The paper explores the architectural components essential to IoT platforms, including device management, data processing, communication protocols, security mechanisms, and analytics capabilities. Through detailed analysis of major commercial platforms such as AWS IoT Core, Microsoft Azure IoT, Google Cloud IoT, and IBM Watson IoT, alongside prominent open source alternatives including Eclipse IoT, Things Board, Node-RED, and FIWARE, this survey identifies the strengths, limitations, and appropriate use cases for different platform categories. The comparative analysis reveals that platform selection must align with specific organizational requirements regarding scalability, budget, technical expertise, security, and customization needs. Key findings indicate that commercial platforms offer advantages in managed infrastructure, global scalability, and professional support, while open source platforms provide flexibility, cost-effectiveness, and freedom from vendor lock-in. The survey also examines emerging trends including edge computing integration, artificial intelligence incorporation, blockchain applications, and standardization efforts that were shaping the future direction of IoT platforms. This comprehensive overview serves as a valuable resource for researchers, practitioners, and organizations navigating the complex landscape of IoT platform selection and implementation, providing insights that facilitate informed decision-making in IoT project planning and execution.
Keywords:
Internet of Things; IoT platforms; IoT architecture; Cloud computing; Edge computing; Device management; MQTT protocol; IoT securityArtificial Intelligence; Machine Learning; Everyday Applications; Smart Systems; Human-Computer Interaction
Full text article in PDF:
Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0