信道随机性对传感器网络连续渗流密度的影响

Impact of channel randomness to critical density of wireless sensor networks

为同时保证无线传感器网络的覆盖与连通,探索连续渗流密度对网络覆盖与连通性的影响,设计了改进的吉尔伯特圆盘感知模型来研究传感器网络的连续渗流问题。该方法同时考虑了无线传感器网络节点的空间分布特征及信道传输特性,用等效半径与连续渗流填充因子的依赖关系,研究了信道随机性对网络连续渗流密度λc的影响。实验结果表明,信道随机性条件下,节点等效半径增大的衰落环境可增加网络的连通性,减小网络的连续渗流密度λc。

In order to guarantee sensing coverage and connectivity in wireless sensor networks, exploring the influence of criti- cal density to the network coverage and connectivity, this paper proposed a novel improved Gilbert sensing model （IGSM） to analyze the impact of randomness channel to the critical densityλ c. The IGSM combined the characteristics of spatial distribu- tion of sensors and the transmit channels, through the dependencies of equivalent sensing radius and continuum percolation fi- lling factor, IGSM represented the influences of channel randomness to the critical density of the sensor networks. Simulation results show that in random transmit channel, the critical density λ c decreases as the equivalent sensing radius increases, as well as the connectivity of the network increases.