Human opportunistic networks can facilitate wireless content dissemination while humans are on the move. In such a network, content is disseminated via nodes relaying and nodes mobility (human mobility). Thus it is essential to understand and model the real human mobility. We present a heterogeneous community-based random way-point (HC-RWP) mobility model that captures the four important properties of real human mobility. These properties are based on both intuitive observations of daily human mobility and analysis of empirical mobility traces. By discrete event simulation, we show HC-RWP captures essential statistic features of wide range of real human mobility traces reported in previous studies.
|Title of host publication||Proceedings of the 5th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications|
|Publication status||Published - 2009|
|Event||The 5th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications - Marrakech, Morocco|
Duration: 1 Jan 2009 → …
Conference number: 5
|Conference||The 5th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications|
|Period||01/01/2009 → …|