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A Cluster-Based Approach for Disturbed,Spatialized, Distributed Information Gathering Systems

机译:基于集群的扰动,空间化,分布式信息收集系统方法

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In a distributed spatialized information collecting system managed by a swarm of agents, where some are supposed disturbed, the maintenance of the system coherence and cooperation between reliable elements is a challenge. This paper tackles the problem of finding an ef ficient mechanism to ensure the coherence of the system and to optimize system performance. The main contribution of this paper consists of two major steps: (ⅰ) use trust-based mechanism to ensure the coherence and the robustness of the system; (ⅱ) allow reliable elements to create dy namic clusters based on trust. We propose two different organizations in order to manage these issues and show how they must interact: a social one in which each agent maintains a TrustSet to estimate trust on others; a spacial one in which reliable elements are grouped in an "ad hoc type" network to improve cooperation between themselves.
机译:在由一群代理人管理的分布式空间信息收集系统中,其中一些代理人可能受到干扰,维持系统一致性和可靠元素之间的协作是一个挑战。本文解决了寻找一种有效的机制以确保系统一致性并优化系统性能的问题。本文的主要贡献包括两个主要步骤:(ⅰ)使用基于信任的机制来确保系统的一致性和鲁棒性; (ⅱ)允许可靠元素基于信任来创建动态集群。我们提出了两个不同的组织来管理这些问题并说明它们如何进行交互:一种社交组织,其中每个代理都维护一个TrustSet来估计对其他代理的信任;一种将可靠元素归为“特设类型”网络以改善彼此之间的协作的空间。

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