Multi-robot path finding testbed in wireless networks against malicious attacks

Sangcheon Park, Seunghwan Kim, Dong il Dan Cho, Seohyeong Jang, Jinwoo Sung, Seong Lyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Within a decade, a malicious attack aware network design is of critical importance in an internet of things (IoT) network where the attack frequency coincidentally increases with communication throughput. The main motivation of this article is to apply wireless communication to cooperative path-finding scenario with multiple robots. For this propose, we propose a controllable communication-frequency algorithm (CCF) for deriving the optimal communicating frequency that maximizes the mission accomplished speed. This algorithm determines the optimal communication frequency according to the communication environment with malicious attacks. We report its performance by real implementation on BLE-based Arduino shield bots. We show the effects of cooperative multi-robots with malicious attacks and our proposed algorithm performance is evaluated where it achieves up to mission accomplished speed increase compared to the case without CCF.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages120-123
Number of pages4
ISBN (Electronic)9788993215151
Publication statusPublished - 2018 Dec 10
Event18th International Conference on Control, Automation and Systems, ICCAS 2018 - PyeongChang, Korea, Republic of
Duration: 2018 Oct 172018 Oct 20

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2018-October
ISSN (Print)1598-7833

Other

Other18th International Conference on Control, Automation and Systems, ICCAS 2018
Country/TerritoryKorea, Republic of
CityPyeongChang
Period18/10/1718/10/20

Bibliographical note

Funding Information:
This research was supported by a grant to Bio-Mimetic Robot Research Center Funded by Defense Acquisition Program Administration, and by Agency for Defense Development (UD160027ID).

Publisher Copyright:
© ICROS.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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