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@inproceedings{1618996,
author = {Klaška, David and Kučera, Antonín and Řehák, Vojtěch},
address = {Richland, SC},
booktitle = {Proceedings of the 2020 International Conference on Autonomous Agents & Multiagent Systems},
doi = {http://dx.doi.org/10.5555/3398761.3398837},
keywords = {Single and multi-agent planning and scheduling; patrolling},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Richland, SC},
isbn = {978-1-4503-7518-4},
pages = {629-637},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
title = {Adversarial Patrolling with Drones},
year = {2020}
}
TY - JOUR
ID - 1618996
AU - Klaška, David - Kučera, Antonín - Řehák, Vojtěch
PY - 2020
TI - Adversarial Patrolling with Drones
PB - International Foundation for Autonomous Agents and Multiagent Systems
CY - Richland, SC
SN - 9781450375184
KW - Single and multi-agent planning and scheduling
KW - patrolling
N2 - We investigate adversarial patrolling where the Defender is an autonomous device with a limited energy resource (e.g., a drone). Every eligible Defender’s policy must prevent draining the energy resource before arriving to a refill station, and this constraint substantially complicates the problem of computing an efficient Defender’s policy. Furthermore, the existing infinite-horizon models assume Attackers with unbounded patience willing to wait arbitrarily long for a good attack opportunity. We show this assumption is inappropriate in the setting with drones because here the expected waiting time for an optimal attack opportunity can be extremely large. To overcome this problem, we introduce and justify a new concept of impatient Attacker, and design a polynomial time algorithm for computing a Defender’s policy achieving protection close to the optimal value against an impatient Attacker. Since our algorithm can quickly evaluate the protection achievable for various topologies of refill stations, we can also optimize their displacement. We implement the algorithm and demonstrate its functionality on instances of realistic size.
ER -
KLAŠKA, David, Antonín KUČERA and Vojtěch ŘEHÁK. Adversarial Patrolling with Drones. Online. In \textit{Proceedings of the 2020 International Conference on Autonomous Agents \&{} Multiagent Systems}. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 2020, p.~629-637. ISBN~978-1-4503-7518-4. Available from: https://dx.doi.org/10.5555/3398761.3398837.
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