Directed diffusion gradient field based on double gradient in vehicular sensor networks

Abstract

In order to speed up forming Directed Diffusion(DD) gradient field and improve the connectivity of logic networks,a Directed Diffusion Gradient Field based on Double Gradient(DDGF-DG) for Vehicular Sensor Networks(VSN) was proposed.With the help of the estimated gradient value of roadside-node,the large scale vehicular sensor network was divided into a certain number of sub-reigns taking roadside-nodes as the local cores,the local directed diffusion gradient field around every roadside-node was set up in distributed way,and at last,the global directed diffusion gradient field composed of the local directed diffusion gradient fields was formed with the help of double gradient value,so the autonomous management in every sub-reign was realized.Theoretical analysis and simulation results show that DDGF-DG and its dynamic adjustment would reduce the time consumption and improve the real-time connectivity.