基于随机几何的网络拓扑密度控制模型研究

为同时保证无线传感器网数据的可靠传输，降低密集传感器网络中冗余的传输链路产生的节点之间的干扰对网络传输的影响，需要对网络的拓扑密度进行控制。本文基于节点的真实信道传输特性以及网络中节点的分布特征设计了基于随机几何的传感器网络拓扑密度控制模型，利用随机几何中的hard-core理论对拓扑密度控制后的节点稀释过程进行建模。最后，用蒙特卡洛仿真验证了网络中节点密度控制的结果。结果表明采用了拓扑控制后，网络中的干扰能耗更小。

Research on network topology density control based on Stochastic Geometry

It is essential to control the topological density of wireless sensor networks to achieve a reliable data transmission and the interference reduction among the redundant nodes in dense sensor networks. This paper propose a novel stochastic-geometry-based topology density controlling model, which considers both the distribution of nodes and transmit condition in the network. We adopt hard-core process to model the sensor density of topology after controlling, finally, through Monte Carlo simulation we verify the results. It is shown that through topology controlling, the interference power in network become lower.