Quality-dependent adaptation in a swarm of drones for environmental monitoring

Giulia De Masi, Eliseo Ferrante

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

Abstract

Recently, individual or groups of drones have been used increasingly more frequently for applications in environmental monitoring. Groups of drones add larger robustness, lower vulnerability, higher accuracy and flexibility with respect to the use of single drones. These groups are called swarms when designed to make collective decisions trough local mutual interactions, as real social insects swarms. Natural environments are characterized by intrinsic dynamics that are hard to predict. Since a main issue faced by swarms of drones is the absence of adaptability to changes of the environment, in this paper we proposed a principled approach that can potentially be used to develop monitoring system based on drones swarm, able to adapt to changes of the environment thanks to the presence of stubborn individuals. Furthermore, we study how the level of consensus is affected by the interplay between the proportion of stubborn individuals and the difficulty of the problem, expressed by the ratio between the qualities of the different sites.

Original languageEnglish (US)
Title of host publication2020 Advances in Science and Engineering Technology International Conferences, ASET 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728146409
DOIs
StatePublished - Feb 2020
Event2020 Advances in Science and Engineering Technology International Conferences, ASET 2020 - Dubai, United Arab Emirates
Duration: Feb 4 2020Apr 9 2020

Publication series

Name2020 Advances in Science and Engineering Technology International Conferences, ASET 2020

Conference

Conference2020 Advances in Science and Engineering Technology International Conferences, ASET 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period2/4/204/9/20

Keywords

  • Adaptability
  • Collective decision making
  • Dynamic environment
  • Monitoring
  • Swarm

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Waste Management and Disposal
  • Process Chemistry and Technology
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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