Applying anti-flocking model in mobile surveillance systems

  • Yun Qian Miao*
  • , Alaa Khamis
  • , Mohamed S. Kamel
  • *Corresponding author for this work

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

31 Scopus citations

Abstract

This paper discusses the role of three mobility models namely, fully coordinated mobility, fully random mobility and emergent mobility models in improving area coverage and detection effectiveness of a set of mobile sensors in a mobile surveillance system. A novel anti-flocking algorithm that mimics solitary animal's social behavior is described. A multiagent- based system has been implemented to examine the efficiency of the different mobility model. The simulation results show that anti-flocking mobility model outperforms the fully random mobility model. This novel model provides additional features such as scalability, robustness and adaptivity comparing with fully coordinated mobility model.

Original languageEnglish
Title of host publicationIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010
DOIs
StatePublished - 2010
Externally publishedYes
EventIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010 - Povoa de Varzim, Portugal
Duration: 21 Jun 201023 Jun 2010

Publication series

NameIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010

Conference

ConferenceIEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010
Country/TerritoryPortugal
CityPovoa de Varzim
Period21/06/1023/06/10

Keywords

  • Anti-flocking
  • Detection effectiveness
  • Mobile surveillance system
  • Mobility model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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