非均匀热传递下传感网络节点选择改进算法  

Improved Algorithm of Sensor Network Node Selection under Inhomogeneous Thermal Transmission

作　　者：熊婷[1] 张炘[1] 邹璇[1] 

机构地区：[1]南昌大学科学技术学院,江西南昌330029

出　　处：《计算机仿真》2015年第3期318-320,330,共4页Computer Simulation

摘　　要：在非均匀热传递网络通信效率优化的研究中,由于非均匀热传递环境下的传感网络中的节点的能力消耗过程具有较强的随机性和动态性特征,使得节点能量消耗出现不规则发散问题。传统的传感网络节点选择以既定节点能量分布为前提,没有考虑温度造成的节点不规则能耗造成的能量下降问题,使得节点选择过程存在弊端。提出了在非均匀热传递过程中,结合自适应模糊差分算法以及粒子群算法来对传感网络节点进行高精度选择的改进算法,分析非均匀热环境下传感网络通信原理,得到非均匀热传递下传感网络不同节点所具有能量,根据这些节点所在位置的特征,能够自动的实现在非均匀热传感网络中的节点簇群的选取,采用Logistics模糊映射对节点进行改进分区处理,获取最佳网络节点分区,将模糊扰动量融入最佳节点分区中,采用自适应粒子群算法获取非均匀热传递环境下无线传感网络中节点具有最优能量的最佳位置,从而完成节点的选取方法的改进。通过仿真实验结果表明,改进算法可在非均匀热传递环境下实现传感网络节点节点的改进,具有较高的收敛效率。In the paper,an improved algorithm of sensing network node selection was proposed based on adaptive fuzzy differential and adaptive particle swarm. The principle of sensing network communication under inhomogeneous thermal transmission environment was analyzed,to obtain the energy characteristics of sensing network node under inhomogeneous thermal transmission environment. According to the energy characteristics of node,the cluster head of sensing network selection under inhomogeneous thermal transmission environment was adaptively completed. Adopting Logistics fuzzy mapping to improve the node partition,the best network node partition was obtained. The fuzzy disturbance quantity was integrated into the best node partition. The adaptive particle swarm algorithm was used to calculate the optimal position of the optimal partition node in wireless sensor network,obtain the optimal position of the optimum capacity node in wireless sensor network,and realize the network node coverage improvement. The simulation result shows that the proposed algorithm can realize the sensing network node selection improvement under inhomogeneous thermal transmission environment,and it has higher convergence efficiency.

关 键 词：非均匀 热传递 传感网络 节点选择 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]