An IoT and Machine Learning-Based Routing Protocol for Reconfigurable Engineering Application

ASIAIR > College of Computer Science > Department of Photonics and Communication Engineering > Journal Article > Item 310904400/115031

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Title:	An IoT and Machine Learning-Based Routing Protocol for Reconfigurable Engineering Application
Authors:	Nata, Yuvaraj;Natarajan, Yuvaraj;李正吉;Lee, Cheng-Chi
Contributors:	資訊電機學院光電與通訊學系
Date:	2022-03-01
Issue Date:	2023-03-28 02:00:45 (UTC+0)
Publisher:	亞洲大學
Abstract:	With new telecommunications engineering applications, the cognitive radio (CR) network-based internet of things (IoT) resolves the bandwidth problem and spectrum problem. However, the CR-IoT routing method sometimes presents issues in terms of road finding, spectrum resource diversity and mobility. This study presents an upgradable cross-layer routing protocol based on CR-IoT to improve routing efficiency and optimize data transmission in a reconfigurable network. In this context, the system is developing a distributed controller which is designed with multiple activities, including load balancing, neighbourhood sensing and machine-learning path construction. The proposed approach is based on network traffic and load and various other network metrics including energy efficiency, network capacity and interference, on an average of 2 bps/Hz/W. The trials are carried out with conventional models, demonstrating the residual energy and resource scalability and robustness of the reconfigurable CR-IoT.
Appears in Collections:	[Department of Photonics and Communication Engineering] Journal Article

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