Information Update for Multi-source Remote Estimation in Real-time Monitoring Networks

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

    7 Citations (Scopus)

    Abstract

    We study the remote estimation problem with a large number of wireless monitoring devices. As a first step, we model the states of multiple information sources as a multi-dimensional symmetric random walk process, where each source updates its status through costly transmission channel. We formulate the problem as an infinite-horizon optimization problem and consider threshold-based policy that achieves the optimal performance in many network settings. Depending on the situations, it might be possible to update each information source individually, or a group of sources must be updated together. To this end, we investigate the impact of different communication constraints on the performance of the threshold-based policy, and clarify the performance gain of the individual update.

    Original languageEnglish
    Title of host publicationICTC 2019 - 10th International Conference on ICT Convergence
    Subtitle of host publicationICT Convergence Leading the Autonomous Future
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages633-635
    Number of pages3
    ISBN (Electronic)9781728108926
    DOIs
    Publication statusPublished - 2019 Oct
    Event10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of
    Duration: 2019 Oct 162019 Oct 18

    Publication series

    NameICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

    Conference

    Conference10th International Conference on Information and Communication Technology Convergence, ICTC 2019
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period19/10/1619/10/18

    Bibliographical note

    Funding Information:
    C. Joo is the corresponding author. This work is supported by the research fund of the Signal Intelligent Research Center supervised by the Defense Acquisition Program Administration and Agency for Defense Development of Korea.

    Publisher Copyright:
    © 2019 IEEE.

    Keywords

    • Remote estimation
    • cost minimization
    • random walk

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems and Management
    • Management of Technology and Innovation
    • Safety, Risk, Reliability and Quality
    • Media Technology
    • Control and Optimization

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