Abstract This paper presents an optimal communication relay positioning method to improve the communication performance of mobile multi-node networks in complex environments. The communication channel quality prediction between nodes is of primary concern to find the optimal relay node positions while considering the uncertain and dynamic nature of environments. To this end, the learning-based or the distance model-based method is used for the channel prediction depending on the mobility of the communication nodes of interest. The global message connectivity and the worst case connectivity are introduced as the communication performance metric of networked agents. The optimal relay positions are found by maximizing the performance with respect to the relay positions through a heuristic optimization technique. This algorithm outperforms a recently-developed relay positioning algorithm in the simulations. The indoor experiments are conducted to show that the proposed approach using mobile relays improves the communication performance of the complex network significantly with the accurate channel prediction.

中文翻译：

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移动多节点网络中的最优通信中继定位

摘要 提出一种优化通信中继定位方法，以提高复杂环境下移动多节点网络的通信性能。在考虑环境的不确定性和动态性的同时，节点之间的通信信道质量预测是寻找最佳中继节点位置的首要问题。为此，根据感兴趣的通信节点的移动性，将基于学习或基于距离模型的方法用于信道预测。全局消息连通性和最坏情况连通性被引入作为联网代理的通信性能指标。通过启发式优化技术使与中继位置相关的性能最大化，从而找到最佳中继位置。该算法在模拟中优于最近开发的中继定位算法。室内实验表明，所提出的使用移动中继的方法通过准确的信道预测显着提高了复杂网络的通信性能。