无线传感网络通信优化算法仿真

Simulation Optimization Algorithm of Wireless Sensor Network Communication

研究无线传感网络声压干扰下的准确通信问题。高精度的传感器网络工作在较为敏感的环境下,对外围信号干扰极其灵敏,外界声音会形成非线性声压信号,对通信过程造成干扰。传统的通信方法中利用阀值设定门限进行噪声过滤,导致声压干扰下原始信号形成不同的幅值。信号与声压混合后无法确保电压接近门限值,导致噪声过滤不准。为通信准确性,提出了一种利用功率偏差补偿的无线传感网络通信优化方法。根据加权组播树相关理论,建立加权组播树,在通信过程中容易受到声压干扰,需要利用功率偏差补偿方法,对上述干扰造成的误差进行补偿。实验证明,利用改进算法进行无线传感网络通信,可以降低由于声压干扰的通信误码率。

The accurate communication problem in wireless sensor networks SPL interference was researched. We presented an optimization method for wireless sensor network communication based on power deviation compensation. According to the theory of weighted multicast tree, a weighted muhicast tree can be built. In the communication process, it is susceptible to disturbing with acoustic pressure. Thus, it needs to use the power deviation compensation method to compensate the error of the disturbance caused. Experimental results show that the improved algorithm for wireless sensor network communication can reduce the communication error rate due to sound pressure interference.