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Self-Optimizing Algorithms for Mobile Ad Hoc Networks based on Multiple Mobile Agents

机译：基于多个移动代理的移动临时网络自我优化算法

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This paper presents algorithms that form optimal connecting configurations for Mobile Ad Hoc Networks (MANETs). MANET is a computer network that is dynamically formed by autonomous mobile nodes. Today, the communication network is one of the most important infrastructures. When it is lost by either natural or accidental disaster, the recovery of the communication network should be one of the first priorities. We are proposing a way of constructing an extemporized communication network on the spot by a herd of mobile robots that communicate by wireless link. The networks we are considering are formed by multiple relay robots; therefore the algorithms are naturally distributed ones and executed by the herd of relay robots. The relay robots move cooperatively but without any central control. In order to collect and to distribute enough information to coordinate the behaviours of participating relay robots, we employ mobile software agents that we have developed and succeeded in using many applications. There are a number of multi-robot systems that take advantage of MANET, and look for efficient use of relay robot while maintaining connectivity. Our study contributes this line of investigation. The numerical experiments show that our algorithms provide optimal configurations in certain cases.
机译：本文介绍了移动临时网络（船只）的最佳连接配置的算法。 MANET是一种由自主移动节点动态形成的计算机网络。今天，通信网络是最重要的基础设施之一。当通过自然灾害或偶然灾害丢失时，通信网络的恢复应该是第一优先事项之一。我们正在提出一种通过无线链路通信的移动机器人在现场构建外部化通信网络的方法。我们考虑的网络由多个继电器机器人组成;因此，算法是自然分布的并且由继电器机器人的群体执行。继电器机器人协作，但没有任何中央控制。为了收集并分发足够的信息以协调参与式中继机器人的行为，我们采用了我们开发并成功使用许多应用程序的移动软件代理。有许多多机器人系统可以利用MANET，并在保持连接的同时，寻找继电器机器人的有效使用。我们的研究有助于这一调查。数值实验表明，我们的算法在某些情况下提供最佳配置。

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