无线传感器网络中低功耗路由协议优化方法  

Automated Penetration Testing Method Based on Reinforcement Learning

作　　者：杨惠 郝立元 YANG Hui;HAO Liyuan(College of Media Engineering,Lanzhou University of Arts and Science,Gansu Lanzhou 730000)

机构地区：[1]兰州文理学院传媒工程学院,甘肃兰州730000

出　　处：《长江信息通信》2024年第7期103-106,共4页Changjiang Information & Communications

基　　金：2022年甘肃省高等学校创新基金项目“ZigBee无线通信网络和MEMS传感器在工程结构损伤监测中的研究与应用”(编号:2022A-171);2023年甘肃省高等学校创新基金项目“基于无线传感器的智能大棚控制系统设计”(编号:2023B-256);甘肃省2024年度重点人才项目—基于多源信息融合的黄河流域土遗址保护预警监测系统的研究。

摘　　要：由于电池功率的不足,严重限制了无线传感器网络的应用场景。如何均衡无线传感器网络中各部件通讯所产生的能耗,提高能量利用效率成为重要的研究方向。提出了基于能量和节点信息的SEP协议,为了选择合适的簇头节点,该协议将节点剩余能量,邻居节点数量以及终端节点之间的相对距离等加入簇头选举过程中,提高无线网络中节点密集区域内剩余能量较高的节点成为簇头的概率。仿真实验结果表明,该改进方案可有效解决簇头节点分布不合理的问题,有效的提高了网络性能。Due to insufficient battery power,the application scenarios of wireless sensor networks are severely limited.How to balance the energy consumption generated by the communication of various components in wireless sensor networks and improve cenergy utilization efficicncy has become an important research direction.The SEP protocol based on energy and node informa-tion is proposed.In order to select the appropriate cluster head node,this protocol adds the re-maining energy of the node,the number of neighbor nodes and the relative distance between terminal nodes into the cluster head election process to improve the wireless network.The prob-ability that a node with higher residual cnergy in a dense node area becomes a cluster head.Sim-ulation experiment results show that this improved scheme can effectively solve the problem of unreasonable distribution of cluster head nodes and effectively improve network performance.

关 键 词：渗无线传感器网络 相对剩余能量 邻居节点信息 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]