The formation of robust communication networks between independently acting agents is of practical interest in multiple domains, for example, in sensor placement and Unmanned Aerial Vehicle communication. These are the cases where it is only feasible to have the communicating actors modify the network locally, i.e., without relying on the knowledge of the entire network structure and the other actors’ decisions. This calls for approaches to optimizing network structure in a decentralized way. We present an actor-oriented modeling approach to design and parameterize models that enable the creation of networks that exhibit the properties desirable for efficient information sharing. Computational experiments show that the achieved network formation rules, specified in a calculated way, allow agents to maintain robust network structure by activating only a limited number of direct communication channels. The obtained results are promising, as evidenced by the reported comparisons to optimal network configuration solutions obtained in a centralized way.

中文翻译：

---

强大的通信网络形成：分散的方法

在多个领域中，例如在传感器放置和无人机通信中，在独立作用的代理之间形成健壮的通信网络是具有实际意义的。在这些情况下，仅让通信参与者在本地修改网络是可行的，即，不依赖于整个网络结构的知识和其他参与者的决定。这要求以分散的方式优化网络结构的方法。我们提出了一种面向行为者的建模方法来设计和参数化模型，从而能够创建展示有效信息共享所需属性的网络。计算实验表明，以计算方式指定的已实现网络形成规则，允许代理通过仅激活有限数量的直接通信通道来维护健壮的网络结构。所报告的与以集中方式获得的最佳网络配置解决方案的比较证明，所获得的结果是有希望的。