Delay constrained utility maximization in cyber physical system with mobile robotic networks

Anuj Nandanwar, Laxmidhar Behera, Amit Shukla, Hamad Karki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this work, we approach the problem of maximization of delay constraint utility function for a group of robots using a Cyber-Physical System (CPS) framework. For any task involving coordination of robots, a reliable communication link is required to be established. The maintenance of this link reliability highly depends on trajectories of individual robots. This needs a hybrid approach to be adopted, in which mobility and routing control are taken care of simultaneously. In this paper, a hybrid approach has been proposed based on bidirectional optimization i.e. network utility maximization and energy minimization in the presence of delay constraint. Network Utility function allocates network resources to the robots based on physical constraints involved. The result of this optimization problem would empower the hybrid controller to control both robot position as well as communication link strength.

Original languageBritish English
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages4884-4889
Number of pages6
ISBN (Electronic)9781509034741
DOIs
StatePublished - 21 Dec 2016
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 24 Oct 201627 Oct 2016

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference42nd Conference of the Industrial Electronics Society, IECON 2016
Country/TerritoryItaly
CityFlorence
Period24/10/1627/10/16

Keywords

  • Cyber Physical System
  • Hybrid system
  • Multi-robot systems
  • Network optimization

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