@inproceedings{a1274025145c4213b554ed136eee0482,
title = "Optimized Routing Technique for Adaptive Data Transmission in Industrial IoT",
abstract = "In recent years, industrial internet of things (IIoT) has become an important research topic among industry and academia. In IIoT there is a huge demand for data exchange among different smart devices with different delay flows. However, there is a less amount of research has been carried out in this field. In order to address the limitations of the traditional routing method, The proposed work gives a numerical modeling applicable to perform adaptive transmission optimization with a set of the programmable module structure and ensure cost-effective route establishment. The proposed work utilizes bio inspired swarm intelligence based data-driven cluster head (CH) selection with energy optimized route formation to obtain an optimal route. The extensive simulation outcome shows that particle swarm optimization (PSO) based clustering attain better delay, path difference degree and packet delivery ratio as compared to other conventional methods.",
author = "J. Shreyas and B. Kavitha and Udayaprasad, \{P. K.\} and \{Dilip Kumar\}, \{S. M.\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th International Conference on Information Processing, ICINPRO 2019 ; Conference date: 20-12-2019 Through 22-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICInPro47689.2019.9092109",
language = "English",
series = "2019 15th International Conference on Information Processing: Internet of Things, ICINPRO 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Venugopal, \{K. R.\} and Shenoy, \{P. Deepa\} and Raja, \{K. B.\} and Rajkumar Buyya and Iyengar, \{S. S.\} and Patnaik, \{L. M.\}",
booktitle = "2019 15th International Conference on Information Processing",
address = "United States",
}