Design and Evaluation of IoT Prototypes: Leveraging Test-Beds for Performance Assessment and Innovation
The Internet of Things' (IoT) explosive growth has created new opportunities for creative solutions in a variety of sectors. However, since real-world surroundings are complicated and variable, creating and assessing IoT prototypes may be difficult. The usage of test beds as a vital instrument for evaluating performance and fostering creativity in the creation of IoT prototypes is the main topic of this research study. Test-beds allow developers and researchers to analyse critical performance parameters like latency, scalability, energy efficiency, and interoperability by offering repeatable, controlled settings that mimic real-world situations. This paper examines many IoT test-bed frameworks and their uses in a range of industries, such as industrial automation, smart cities, and healthcare. It also looks at methods for assessing the dependability and effectiveness of IoT devices and the difficulties brought about by the ever-changing nature of IoT ecosystems. Before deploying a prototype, developers may improve its scalability and robustness by iterating iteratively on test-beds. With a focus on their potential to support large-scale IoT deployments and address the emerging challenges of security, privacy, and data management, the paper concludes by discussing future trends in IoT prototype evaluation and the evolving role of test-beds in fostering innovation.
Authors
- Gopal Kaliyaperumal (ORCID: https://orcid.org/0000-0002-8277-256X)
- Rakesh Kumar (ORCID: https://orcid.org/0000-0001-9926-6156)
- Shuchi Bhadula (ORCID: https://orcid.org/0000-0003-3328-6044)
- Myasar Mundher Adnan (ORCID: https://orcid.org/0000-0003-3260-9171)
- Nandini Shirish Boob
- Bolleddu Devananda Rao (ORCID: https://orcid.org/0000-0002-1401-5516)
Institutions
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
- Graphic Era University (IN)
- GLA University (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/ictbig64922.2024.10911449
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00