Bio-Inspired Scheduling for Factory Automation in the TD-LTE System

ABSTRACT

Wireless technology has advantages such as low cost, flexibility, relatively easy installation, and the ability to address routing issues. Consequently, wireless factory automation has received considerable attention recently. However, most wireless technologies in factory automation have adopted unlicensed bandwidth, which can be affected by interference from other users. Long-term evolution adopts a licensed bandwidth; therefore, it can be a solution for factory automation. This paper presents scheduling algorithms in wireless industrial networks for factory automation in wireless sensor networks using the TD-LTE system. To satisfy real-time requirements, scheduling algorithms based on bio-inspired optimization algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), and firefly algorithm (FA), and dynamic frame configuration (DFC) are proposed to cover more nodes. Furthermore, the performances of these algorithms with and without DFC are evaluated.

KEYWORDS:

• Evolutionary computation
• Factory automation
• Firefly algorithms
• Genetic algorithms
• Particle swarm optimization
• Scheduling algorithms
• TD-LTE
• Wireless communication

Acknowledgement

This work was supported by the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (2018R1A6A1A03024003).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Won Jae Ryu

Won Jae Ryu received his BS degree in electronic engineering, MS degree and PhD degree in IT convergence engineering from Kumoh National Institute of Technology (KIT), Korea, in 2012, 2014, and 2020, respectively. Since August 2020, he is a senior researcher at ICT Convergence Research Center, Kumoh National Institute of Technology. His current research interests include scheduling and resource allocation in wireless communication for URLLC of 5G. Email: [email protected]

Gandeva Bayu Satrya

Gandeva Bayu Satrya, PhD in security communication for next-generation networks, graduated from IT Convergence Engineering, School of Electronic Engineering, Kumoh National Institute of Technology, Korea, in 2018. He has been a lecturer and researcher at the School of Applied Science at Telkom University, Bandung, Indonesia, since 2011. From 2008 to 2010, he was a BSS engineer at the PT. ZTE Indonesia. His areas of expertise are android forensics, routing protocols, packet scheduling, and security communication in next-generation networks. Email: [email protected]

Soo Young Shin

Soo Young Shin, received his BS, MS and PhD degrees in electrical engineering and computer science from Seoul National University, Korea, in 1999, 2001, and 2006, respectively. Since September 2010, he has been an associate professor at the School of Electronics, Kumoh National Institute of Technology. His research interests include wireless sensor networks, coexistence among wireless networks, industrial and military networks, cognitive radio networks, MIMO, OFDM, mmWave, NOMA, and next-generation mobile wireless broadband networks (5G/5G+).