Multi-agent decentralized area search based on anti-flocking control

To achieve autonomous collaborative area search of multi-agent systems under a decentralized architecture, this paper designs a key benefit function for determining the γ-agent position based on the anti-flocking control protocol, and verifies it through simulation implementation. The simulation results show that compared to the existing method, the proposed method can achieve faster full area coverage while achieving obstacle avoidance ability and greater instantaneous coverage performance, verifying the effectiveness of the proposed method.

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Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1117/12.3061494
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

Multi-agent decentralized area search based on anti-flocking control

Wan Yang, Limin Zhang, Qi Xin, Wendy Wu
Energy Efficient Wireless Sensor Networks
article

Multi-agent decentralized area search based on anti-flocking control

Wan Yang, Limin Zhang, Qi Xin, Wendy Wu
article en

Abstract

To achieve autonomous collaborative area search of multi-agent systems under a decentralized architecture, this paper designs a key benefit function for determining the γ-agent position based on the anti-flocking control protocol, and verifies it through simulation implementation. The simulation results show that compared to the existing method, the proposed method can achieve faster full area coverage while achieving obstacle avoidance ability and greater instantaneous coverage performance, verifying the effectiveness of the proposed method.

Naval Aeronautical and Astronautical University (CN)
Reduced inequalities
Openalex Percentile: Top 94%
Energy Efficient Wireless Sensor Networks
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