Next Article in Journal
A Sensing Element Based on a Bent and Elongated Grooved Polymer Optical Fiber
Previous Article in Journal
Intelligent Emergency Stop Algorithm for a Manipulator Using a New Regression Method
Sensors 2012, 12(6), 7468-7484; doi:10.3390/s120607468
Article

Bluetooth Based Chaos Synchronization Using Particle Swarm Optimization and Its Applications to Image Encryption

* ,
 and
Received: 18 April 2012 / Revised: 25 May 2012 / Accepted: 31 May 2012 / Published: 1 June 2012
(This article belongs to the Section Physical Sensors)

Abstract

This study used the complex dynamic characteristics of chaotic systems and Bluetooth to explore the topic of wireless chaotic communication secrecy and develop a communication security system. The PID controller for chaos synchronization control was applied, and the optimum parameters of this PID controller were obtained using a Particle Swarm Optimization (PSO) algorithm. Bluetooth was used to realize wireless transmissions, and a chaotic wireless communication security system was developed in the design concept of a chaotic communication security system. The experimental results show that this scheme can be used successfully in image encryption.
Keywords: chaotic system; Bluetooth; communications security; Particle Swarm Optimization algorithm; PID controller chaotic system; Bluetooth; communications security; Particle Swarm Optimization algorithm; PID controller
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Yau, H.-T.; Hung, T.-H.; Hsieh, C.-C. Bluetooth Based Chaos Synchronization Using Particle Swarm Optimization and Its Applications to Image Encryption. Sensors 2012, 12, 7468-7484.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert