摘要
无线传感器网络存在易遭受恶意节点攻击而导致能量浪费和数据丢失等问题,为解决该问题,提出ETM-LEACH(energy and trust models based LEACH)算法。通过均衡网络能耗计算动态最优簇首数,引入能量判决因子、节点密度因子、节点信任因子改进选举簇首的阈值计算公式。加入绝对偏差过滤掉能量较低节点,采用信任模型引入多种状态信息计算直接信任值和间接信任值,筛选高可信节点。仿真结果表明,与现有协议相比,该协议能够有效降低节点能耗,优化网络部署,提高网络的安全性和可靠性。
To solve the problem that wireless sensor networks are vulnerable to malicious node attacks,resulting in energy waste and data loss,ETM-LEACH(energy and trust models based LEACH)algorithm was proposed to identify malicious nodes and refuse to communicate with them.The dynamic optimal cluster heads were calculated by balancing network energy consumption,and the threshold calculation formula of cluster heads was improved by introducing energy decision factor,node density factor and node trust factor.When selecting the cluster head,absolute deviation was added to filter the lower energy nodes to select the cluster head,and a trust model was adopted.A variety of state information was introduced to calculate the direct trust value and the indirect trust value was introduced to screen out the high trusted nodes.Experimental results show that compared with exis-ting protocols,the proposed protocol can effectively save node energy,optimize network deployment,and improve network security and reliability.
作者
王军
刘经涛
张飞青
WANG Jun;LIU Jing-tao;ZHANG Fei-qing(College of Computer Science and Technology,Shenyang University of Chemical Technology,Shenyang 110142,China;Shenyang Institute of Computing Technology,Chinese Academy of Sciences,Shenyang 110168,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《计算机工程与设计》
北大核心
2021年第4期927-933,共7页
Computer Engineering and Design
基金
辽宁省创新人才支持计划基金项目(LR2018057)
辽宁省“百千万人才工程”人选科技活动基金项目(辽人社【2018】146号)
辽宁省自然科学基金项目(20190200828)
辽宁省教育厅基金项目(XXLJ2019010)。
关键词
恶意节点
绝对偏差
信任模型
自适应
阈值
malicious node
absolute deviation
trust model
adaptive
threshold value
