On a self-organized routing method for scalable overlay networks

在本研究中，为了在控制信息较少的情况下实现高效的数据传输，我们提出了一种新的基于电位的路由，该路由的灵感来自于引力、电磁或其他物理、化学或生物中的势场。更具体地说，我们在已有的研究中提出的梯度场上叠加一个新的梯度场来克服网络拓扑结构的变化，从而实现数据传输。仿真结果表明，在网络拓扑动态变化的情况下，该方法能够实现高效的数据传输。

In this research, to achieve the efficient data transmission with low amount of control information, we propose a new potential-based routing, which is inspired by gravitational, electromagnetic, or other potential fields in physics, chemistry, or biology. More specifically, we superimpose a new gradient field to overcome the changes in network topologies onto the gradient field for data transmission, which was proposed in the several existing researches. Through simulations, we show that our proposed method achieve the efficient data transmission under the situation where the network topology changes dynamically.