On a self-organized routing method for scalable overlay networks

在本研究中，为了以较少的控制信息量实现高效的数据传输，我们提出了一种新的基于势场的路由，该路由受到物理、化学或生物中的引力场、电磁场或其他势场的启发。更具体地说，我们将一个新的梯度场叠加到梯度场上，以克服网络拓扑的变化，用于数据传输，这是在现有的几个研究中提出的。通过仿真实验表明，该方法能够在网络拓扑动态变化的情况下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.