Cooperative Intelligence Constructing an Internet of Things for Diverse Discourse
Regarding the topic of Internet of Things (IoT), where normal things are frequently linked via the Internet, the rise of different networks has generated a significant need for gateways that can efficiently manage and transfer data to diverse systems. In essence, these gateways serve as intermediaries connecting devices and networks that employ distinct protocols and/or standards of communication. This MIG is constructed using commercially available off-the-shelf components that are cost-effective and so suitable for use in numerous and diverse IoT environments. Included in the list of wireless interface communications are LoRaWANs and BLE (Bluetooth Low Energy). To evaluate the performance of the MIG, the paper utilizes three different approaches: an analytical technique rooted on the Markov chain, Python programming language simulation, and real-world manipulations using a prototype. The objective of this article is to present actual evidence that supports the effectiveness of the MIG in optimizing the distribution of information flow on various communication networks. In addition to validating the sounds produced by the suggested analytical model, the simulation and testing carried out revealed potential avenues for further improvement of the MIG framework. In summary, this work is advocated to enhance the current endeavors to advance the development of IoT systems and their constituent parts.
Authors
- Subodh Kumar Suman (ORCID: https://orcid.org/0000-0002-1842-0930)
- RVS Praveen
- Bharathi V. J
- Arun Kumar Arigela
- Naduvathezhath Nessariose Jose
- Galeiah Medabalimi Medabalimi
Institutions
- Mahindra Group (India) (IN)
- Krishna University (IN)
- Sri Konda Laxman Telangana State Horticultural University (IN)
- Saveetha University (IN)
- Tilka Manjhi Bhagalpur University (IN)
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/iccsai64074.2025.11063863
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00