Modeling Social Gauss-Markov Mobility for Opportunistic Network

摘要

Mobility is attracting more and more interests due to its importance for data forwardingmechanisms in many networks such as mobile opportunistic network. In everyday life mobilenodes are often carried by human. Thus, mobile nodes’ mobility pattern is inevitable affected byhuman social character. This paper presents a novel mobility model (HNGM) which combinessocial character and Gauss-Markov process together. The performance analysis on thismobility model is given and one famous and widely used mobility model (RWP) is chosen tomake comparison..