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Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking

Greg Foderaro,Pingping Zhu,Hongchuan Wei,Thomas A. Wettergren,S. Ferrari

Published 2018 in IEEE Transactions on Control of Network Systems

ABSTRACT

This paper presents a distributed optimal control approach for managing omnidirectional sensor networks deployed to cooperatively track moving targets in a region of interest. Several authors have shown that under proper assumptions, the performance of mobile sensors is a function of the sensor distribution. In particular, the probability of cooperative track detection, also known as track coverage, can be shown to be an integral function of a probability density function representing the macroscopic sensor network state. Thus, a mobile sensor network deployed to detect moving targets can be viewed as a multiscale dynamical system in which a time-varying probability density function can be identified as a restriction operator, and optimized subject to macroscopic dynamics represented by the advection equation. Simulation results show that the distributed control approach is capable of planning the motion of hundreds of cooperative sensors, such that their effectiveness is significantly increased compared to that of existing uniform, grid, random, and stochastic gradient methods.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    IEEE Transactions on Control of Network Systems

  • Publication date

    2018-03-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1109/TCNS.2016.2583070
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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