Information propagation modeling in a drone network using disease epidemic models

Yoojoong Kim, Jong Kook Kim, Junhee Seok, Byoung Du Kim

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

    4 Citations (Scopus)

    Abstract

    Drones transmit and receive packets with each other in a wireless network setting. Packet transmission among drones fails for various reasons. The pattern of information propagation through the packet transmission in a drone network can be considered similar to the pattern of infectious disease transmission in a human interaction network. In this work, we use a Microscopic Markov Chain Approach (MMCA), which has been applied to model the patterns of disease epidemics in a human network, to investigate the packet transmission pattern in a microscopic scale. Throughout the simulation studies, we investigated the usefulness of MMCAs for a drone network.

    Original languageEnglish
    Title of host publicationICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks
    PublisherIEEE Computer Society
    Pages79-81
    Number of pages3
    ISBN (Electronic)9781467399913
    DOIs
    Publication statusPublished - 2016 Aug 9
    Event8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 - Vienna, Austria
    Duration: 2016 Jul 52016 Jul 8

    Publication series

    NameInternational Conference on Ubiquitous and Future Networks, ICUFN
    Volume2016-August
    ISSN (Print)2165-8528
    ISSN (Electronic)2165-8536

    Other

    Other8th International Conference on Ubiquitous and Future Networks, ICUFN 2016
    Country/TerritoryAustria
    CityVienna
    Period16/7/516/7/8

    Bibliographical note

    Funding Information:
    This work was supported by grants from the National Research Foundation of Korea (NRF-2014R1A1A2A16050527, NRF-2015R1A2A1A16074932).

    Publisher Copyright:
    © 2016 IEEE.

    Keywords

    • drone
    • network
    • real time
    • transmission

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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