Anti-jamming mobile control using QoS-based reinforcement learning

• Kuze Naomi

  Graduate School of Engineering Science, Osaka University

• Nakashima Taishi

  Graduate School of Engineering Science, Osaka University

• Ushio Toshimitsu

  Graduate School of Engineering Science, Osaka University

Abstract

In cyber-physical systems, the reliable data communication between the physical systems and computer systems are inevitable, and it is an essential issue to protect the systems from jamming attacks that obstruct wireless communication. Moreover, for practical uses of the systems, Quality of Service (QoS) is also important. In this paper, we consider a mobile robot and propose an anti-jamming mobile control system that uses QoS-based reinforcement learning. We show that the control system can find a policy that provides planning with a short path while avoiding jamming attacks.

Journal

• IEICE Communications Express

  IEICE Communications Express 8 (12), 501-506, 2019

  The Institute of Electronics, Information and Communication Engineers

Keywords

• cyber physical system
• anti-jamming
• mobile control
• Quality of Service (QoS)
• reinforcement learning

Details

• CRID: 1390282752376063744
• NII Article ID: 130007755161
• DOI: 10.1587/comex.2019gcl0025
• ISSN: 21870136
• Web Site: https://www.jstage.jst.go.jp/article/comex/8/12/8_2019GCL0025/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed