面向任务的无人系统高动态自治群服务发现机制

Vincent Autefage, S. Chaumette, D. Magoni
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引用次数: 12

摘要

在过去的几年中,许多研究项目已经开始关注全球称为UMS的移动无人系统(例如无人机,地面机器人)群。这些系统,因为它们可以嵌入许多传感器和执行器,适合在3D(阴暗、肮脏和危险)环境中执行自主任务。然而,在集群的所有成员中嵌入大量的功能在成本、重量和能源消耗方面是昂贵的。因此,在每个UMS中只嵌入一个或几个功能通常更有效。因此,有必要在群体中提供一种发现机制,以允许其成员分享他们的能力并为实现全球任务而合作。这些共享功能称为服务。在本文中,我们提出了一种新的服务发现系统,称为AMiRALE,用于自治和活跃实体的异步任务中继,专用于高度易变,自治和移动的UMS群体。我们的解决方案独立于节点的移动性和连接模式。此外,它还支持异构集群和降级操作条件(即消息丢失,UMS丢失和网络断开)。它也是完全去中心化的,支持发现和服务使用。我们提供了我们的AMiRALE系统的理论模型的描述,以及从公园清洁场景中获得的几个仿真结果。
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A Mission-Oriented Service Discovery Mechanism for Highly Dynamic Autonomous Swarms of Unmanned Systems
Over the past few years, many research projects have begun to focus on swarms of mobile unmanned systems (e.g., Drones, ground robots) globally referred as UMS. These systems, because of the many sensors and actuators they can embed, are suitable for autonomous missions in 3D (Dull, Dirty and Dangerous) environments for instance. However, embedding a large number of capabilities in all of members of a swarm is expensive in terms of cost, weight and energy consumption. Thus, it is usually more efficient to embed only a single or a few capabilities within each UMS. It then becomes necessary to provide a discovery mechanism built into the swarm in order to allow its members to share their capabilities and to collaborate for achieving a global mission. These shared capabilities are called services. In this paper, we propose a new service discovery system called AMiRALE for Asynchronous Missions Relay for Autonomous and Lively Entities dedicated to highly volatile, autonomous and mobile swarms of UMS. Our solution is independent of both nodes' mobility and connectivity patterns. Moreover, it supports heterogeneous swarms and degraded conditions of operation (i.e., Message loss, UMS loss and disconnected network). It is also totally decentralized and enables both discovery and service usage. We provide a description of the theoretical model of our AMiRALE system as well as several simulation results obtained from a park cleaning scenario.
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