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Geographic-Region Monitoring by Drones in Adversarial Environments

Published: 04 November 2021 Publication History

Abstract

We consider surveillance of a geographic region by a collaborative system of drones. The drones assist each other in identifying and managing activities of interest on the ground. We also consider an adversary who can create both genuine and fake activities on the ground. The objective of the adversary is to use fake activities, in order to maximize the response time to genuine activities. We present two collaboration algorithms and analyze their response times, as well as the adversary's efforts in terms of the number of fake activities required to achieve a certain response time.

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G. Casagrande, A. Sik, and G. Szabo, editors. Small Flying Drones. Springer, 2018.
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Hailong Huang and Andrey V. Savkin. Towards the internet of flying robots: A survey. Sensors (Basel, Switzerland), 18(11):4038, Nov 2018.
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H. Teng, I. Ahmad, A. Msm, and K. Chang. 3d optimal surveillance trajectory planning for multiple uavs by using particle swarm optimization with surveillance area priority. IEEE Access, 8:86316--86327, 2020.
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Jao Valente. Arial Coverage of Path Planning Applied to Mapping. PhD thesis, Polytechnic University of Madrid, 2014. unpublished thesis.
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S. Yanhang and Z. Zhou. Cooperative control for target search, classification and attack for auavs(attack uninhabited air vehicles). In 2007 Chinese Control Conference, 2007.
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Cited By

View all
  • (2023)Geographic-Region Monitoring by Drones in Adversarial EnvironmentsACM Transactions on Spatial Algorithms and Systems10.1145/36110099:3(1-36)Online publication date: 13-Sep-2023
  • (2023)A System for Collaborative Surveillance of Geographic Areas by Fleet of Drones2023 24th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM58254.2023.00035(172-175)Online publication date: Jul-2023
  • (2022)Collaborative Geographic Area Surveillance by System of Drones2022 23rd IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM55031.2022.00077(340-342)Online publication date: Jun-2022

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    cover image ACM Conferences
    SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems
    November 2021
    700 pages
    ISBN:9781450386647
    DOI:10.1145/3474717
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 04 November 2021

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    Author Tags

    1. Cooperative Drones
    2. Drones monitoring
    3. Fake events

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    Cited By

    View all
    • (2023)Geographic-Region Monitoring by Drones in Adversarial EnvironmentsACM Transactions on Spatial Algorithms and Systems10.1145/36110099:3(1-36)Online publication date: 13-Sep-2023
    • (2023)A System for Collaborative Surveillance of Geographic Areas by Fleet of Drones2023 24th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM58254.2023.00035(172-175)Online publication date: Jul-2023
    • (2022)Collaborative Geographic Area Surveillance by System of Drones2022 23rd IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM55031.2022.00077(340-342)Online publication date: Jun-2022

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