基于蚁群粒子适应机制的移动传感网簇头生成算法
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引用本文:李 文.基于蚁群粒子适应机制的移动传感网簇头生成算法[J].计算技术与自动化,2021,(2):86-90
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李 文 (广东科贸职业学院 息与自动化学院,广东 广州 510640) 
中文摘要:传统移动传感网簇头生成算法在筛选簇头节点时中存在的节点密度较低及网络传输性能较差的不足。因此,提出了一种基于蚁群粒子适应机制的移动传感网簇头生成算法。首先选取具有较高能量值的节点作为初始簇头节点,采取粒子迭代方式设计了基于蚁群粒子感知覆盖机制的簇头生成方法,并通过权值评估方式来优化备选簇头节点能量,有效改善因链路抖动而导致的传输性能受限现象,有效提高簇头节点分布密度。基于极限标准差优选机制,通过定时更新备选簇头节点标准差,进一步选取性能较高的节点维持链路性能,改善链路抖动现象并提高网络传输带宽,降低信道噪声对数据传输带来的不利影响。通过仿真实验与基于改进能量均衡机制的传感网簇头生成算法和基于能量优化回收机制的传感网簇头生成算法进行对比,表明所提算法具有更高的簇头节点密度和网络传输带宽。
中文关键词:移动传感网  簇头生成  蚁群粒子  感知覆盖  极限标准差
 
Cluster Head Generation Algorithm For Mobile Sensor Networks Based opn Ant Colony Particle Adaptation Mechanism
Abstract:Traditional cluster head generation algorithms for mobile sensor networks have the disadvantages of low node density and poor network transmission performance when selecting cluster head nodes. Therefore, this paper proposes a cluster head generation algorithm based on ant colony particle adaptation mechanism. Firstly, the node with high energy value is selected as the initial cluster head node, and the cluster head generation method based on ant colony particle sensing coverage mechanism is designed by particle iteration. The energy of the candidate cluster head node is optimized by weight evaluation, which effectively improves the transmission performance limitation caused by link jitter and the distribution density of cluster head nodes. Based on the limit standard deviation optimization mechanism, by updating the standard deviation of the candidate cluster head nodes regularly, the higher performance nodes are further selected to maintain the link performance, improve the link jitter phenomenon, improve the network transmission bandwidth, and reduce the adverse impact of channel noise on data transmission. The simulation results are compared with the cluster head generation algorithm based on improved energy balance mechanism and the cluster head generation algorithm based on optimized energy recovery mechanism. The results show that the proposed algorithm has higher cluster head node density and network transmission bandwidth.
keywords:mobile sensor network  cluster head generation  ant colony particle  sensing coverage  limit standard deviation
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