4.7 Article

A Communication Scheme based on Fractional Order Chaotic Laser for Internet of Things

Journal

INTERNET OF THINGS
Volume 15, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.iot.2021.100425

Keywords

Maxwell-Bloch Equation; fractional derivative; sensor; synchronization; IoT protocol

Funding

  1. Malaysian Ministry of Higher Education [FRGS/1/2017/STG06/UPNM/03/1]

Ask authors/readers for more resources

This article proposes a synchronization scheme based on fractional-order chaotic laser models, observing good synchronization of intermediate variables and significantly reduced errors, indicating compatibility of the scheme. A communication scheme based on music signals is implemented to verify the application. The results show that the scheme is effective for IoT with an increased number of connected devices using semiconductor lasers.
Internet of Things (IoT) is a system of computing devices connected through a network by using wired or wireless devices. It has been studied and implemented that optical fibre governed by semiconductor laser can be an effective medium for high-speed internet. Synchronization between lasers is an essential phenomenon to investigate several applications of IoT. In this article, we propose a synchronization scheme based on fractional-order chaotic laser models. During the synchronization process, we observed that the intermediate variable can also synchronize well and the corresponding error is significantly less, which is an indication of the compatibility of the scheme. A communication scheme is also implemented based on music signals to verify the application of the proposed scheme. The results can be effective for IoT with increased number of connected devices using semiconductor lasers. (C) 2021 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available