Received signal strength based dispersion of swarm of autonomous ground vehicles

Midhun Vijay, M. M. Kuber, K. Sivayazi

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

3 Citations (Scopus)

Abstract

Definition of swarm refers to a group or a collection of similar objects and the interactions between them. Application of this swarm concept in the field of robotics has led to the origin of an emerging robotics field called as Swarm Robotics. In this work, we develop and analyze a RSSI based dispersion algorithm for dispersing a swarm of robots based on received signal strength using wireless communication between the robots. This algorithm finds its application in swarm behavior of Autonomous Ground Vehicles (AGVs) for its effective dispersion in unknown environments for applications such as unknown area exploration, target detection, search and rescue, mine detection and implantation, etc. In this paper we have discussed a new swarm dispersion algorithm based on received signal strength and have demonstrated the concept with the help of Webots robot simulator.

Original languageEnglish
Title of host publicationRTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages52-57
Number of pages6
ISBN (Electronic)9781509037049
DOIs
Publication statusPublished - 01-07-2017
Event2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017 - Bangalore, India
Duration: 19-05-201720-05-2017

Publication series

NameRTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings
Volume2018-January

Conference

Conference2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2017
Country/TerritoryIndia
CityBangalore
Period19-05-1720-05-17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Media Technology
  • Control and Optimization
  • Instrumentation
  • Transportation
  • Communication
  • Computer Networks and Communications

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