GuoDong Kang¹, Jinzhi Ning¹ and GuoLiang Kang², ¹DFH Satellite Co., Ltd., China and ²University of Technology, Australia

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

Mobility, Social, Gauss-markov, Opportunistic