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Authors: Kohei Matsumoto ; Keisuke Yoneda and Toshiharu Sugawara

Affiliation: Department of Computer Science and Communications Engineering, Waseda University, Tokyo 1698555, Japan

Keyword(s): Multi-Agent Cooperative Patrolling, Coordination, Energy Saving, Self-Assessment.

Abstract: In this study, we propose a method to autonomously reduce energy consumption in the multi-agent cooperative patrol problem (MACPP) while fulfilling quality requirements. While it is crucial for the system to perform patrolling tasks as feasibly as possible, performing tasks beyond the required quality may consume unnecessary energy. First, we propose a method to reduce energy consumption by having agents individually estimate whether a given quality requirement is met through learning and consider energy-saving behaviors when diligent patrolling behavior is determined to be unnecessary. Second, we propose a method to deactivate redundant agents based on the values of parameters learned by each agent. Comparison experiments with the existing methods show that the proposed method can effectively reduce energy consumption while fulfilling the requirements. We also demonstrate that the proposed method can deactivate some agents for further energy savings.

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Paper citation in several formats:
Matsumoto, K.; Yoneda, K. and Sugawara, T. (2023). Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 37-47. DOI: 10.5220/0011645000003393

@conference{icaart23,
author={Kohei Matsumoto. and Keisuke Yoneda. and Toshiharu Sugawara.},
title={Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2023},
pages={37-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011645000003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem
SN - 978-989-758-623-1
IS - 2184-433X
AU - Matsumoto, K.
AU - Yoneda, K.
AU - Sugawara, T.
PY - 2023
SP - 37
EP - 47
DO - 10.5220/0011645000003393
PB - SciTePress

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