In this paper, the authors investigate the innovative concept of a dense wireless network supported by additional functionalities inspired by the human nervous system. The nervous system controls the entire human body due to reliable and energetically effective signal transmission. Among the structure and modes of operation of such an ultra-dense network of neurons and glial cells, the authors selected the most worthwhile when planning a dense wireless network. These ideas were captured, modeled in the context of wireless data transmission. The performance of such an approach have been analyzed in two ways, first, the theoretic limits of such an approach has been derived based on the stochastic geometry, in particular—based on the percolation theory. Additionally, computer experiments have been carried out to verify the performance of the proposed transmission schemes in four simulation scenarios. Achieved results showed the prospective improvement of the reliability of the wireless networks while applying proposed bio-inspired solutions and keeping the transmission extremely simple.

中文翻译：

---

密集无线网络中受雨启发的数据传输

在本文中，作者研究了密集无线网络的创新概念，该网络受人类神经系统的启发而提供了其他功能。由于可靠且能量有效的信号传输，神经系统控制了整个人体。在这种密集的神经元和神经胶质细胞网络的结构和操作模式中，作者在计划密集的无线网络时选择了最有价值的方法。这些想法被捕获，并在无线数据传输的上下文中进行了建模。已通过两种方法分析了这种方法的性能，首先，基于随机几何，尤其是基于渗流理论，得出了这种方法的理论极限。另外，已经进行了计算机实验以验证所提出的传输方案在四种模拟情况下的性能。取得的成果表明，在应用提出的受生物启发的解决方案的同时，使无线网络的可靠性得到了预期的提高，并使传输极为简单。