基于节点能量控制的无线网络安全通信算法

摘要

To solve the problem of wireless sensor network communication bandwidth hmitations,as well as the sensor itself can withstand the energy confine,this paper came up with a wireless network rely on the network node energy control algorithm.The algorithm took a Boolean sensing model based on Poisson point process to establish the mapping relationship between the density and coverage of a sensor node and to meet regional coverage requirements determined by the function nodes.According to its node distribution characteristics,distributed genetic simulated annealing algorithm selected minimum energy consumption of the network nodes,and its distribution was intended to synthetic Gaussian mixture model,the transmission of information between the nodes of the model parameters only transmitted to the next node,thus greatly reduced sensors trafficand the node energy consumption.The simulation results show that the algorithm can reduce the energy consumption of nodes at the same time,and greatly enhance the effectiveness of the wireless sensor network energy.%关于网络安全通信问题,针对无线传感网络通讯带宽限制,传感器自身所能承受的能量有限,容易被入侵,提出了一种采用网络节点能量控制的无线网络安全通信算法.首先采用布尔传感模型,根据泊松点过程建立起一个传感器节点密度与覆盖率间的函数关系,通过函数求出满足区域覆盖要求的节点数；然后依据节点分布特性,采用分布式遗传模拟退火算法选出能耗最小的网络节点,并将分布状态拟合成高斯混合模型,在节点间信息传递时只将模型参数传输给下一个节点,从而大大减少传感器之间的通信量,达到降低节点能量消耗的目的,保证节点安全性.仿真结果表明,改进算法在降低节点能耗的同时,大大提高了无线传感网络能量的有效性,保证了通信安全.