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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2020: Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection pp 171–187Cite as

Decentralized Constraint Optimization in Composite Observation Task Allocation to Mobile Sensor Agents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12092))

Abstract

Cooperative severance and observation by autonomous multiple mobile sensors have been studied for wide area monitoring, disaster response, and exploration in unsafe zones. In practical situations, sensor agents might be required to perform various composite tasks. To integrate them, the general representation of problems and decentralized solution methods for different requirements are necessary. The distributed constraint optimization problem has been studied as a general and fundamental combinational optimization problem in multiagent systems. Although several studies have applied this approach to sensor networks and teams of mobile sensors, opportunities also exit to apply it to manage composite tasks and utilize decentralized protocols in the subtasks in several layers of observation systems. As a case study, we address a cooperative observation system consisting of mobile sensor agents that temporally observe unsafe zones on a floor or a field with obstacles, where the basis of the tasks is the division of observation areas for the agents. We also allocate several tasks with high priority to several agents. We applied a decentralized constraint optimization method to the cooperation for both task allocation and the division of an observation area and experimentally verified our proposed approach in a simulated environment.

This work was supported in part by JSPS KAKENHI Grant Number JP19K12117 and Tatematsu Zaidan.

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Notes

  1. 1.

    The actions might cause a small fluctuation in situations that have almost converged. But we allow this situation as dynamics of our system.

  2. 2.

    Although they can be more compactly represented, we prefer to directly represent some structures.

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Authors and Affiliations

  1. Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japan

    Toshihiro Matsui

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  1. Toshihiro Matsui
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Correspondence to Toshihiro Matsui .

Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Grenoble, France

    Yves Demazeau

  2. Catholic University of Leuven, Heverlee, Belgium

    Tom Holvoet

  3. University of Salamanca, Salamanca, Spain

    Juan M. Corchado

  4. University of L’Aquila, L'Aquila, Italy

    Stefania Costantini

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Matsui, T. (2020). Decentralized Constraint Optimization in Composite Observation Task Allocation to Mobile Sensor Agents. In: Demazeau, Y., Holvoet, T., Corchado, J., Costantini, S. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection. PAAMS 2020. Lecture Notes in Computer Science(), vol 12092. Springer, Cham. https://doi.org/10.1007/978-3-030-49778-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-49778-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49777-4

  • Online ISBN: 978-3-030-49778-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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