论文标题
久坐的随机路点
Sedentary Random Waypoint
论文作者
论文摘要
我们通过允许网络的参与者返回流行的地方和单个房屋来调整用于电信网络研究的经典随机路线移动模型。我们表明，在大型随机网络的新概率模型中，两个基本的随机检测和覆盖范围展示了指数尾巴。此外，我们研究了渗透模型。
We adjust the classical random waypoint mobility model used in the study of telecommunication networks to a more realistic setting by allowing participants of the network to return to popular places and individual homes. We show that the two fundamental random times of detection and coverage in this new probabilistic model for large random networks exhibit exponential tails. Furthermore we examine the model for percolation.
