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:2020,29(2):175-180
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无线传感网络恶意节点识别算法
(广东工业大学 计算机学院, 广州 510006)
Malicious Node Recognition Algorithm in Wireless Sensor Networks
(School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China)
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Received:July 03, 2019    Revised:July 23, 2019
中文摘要: 为了提高无线网络的安全性和可信性,本研究以随机并行簇头选举算法为基础,提出了一种基于节点信任值的无线传感网路由算法.该算法综合考量节点距离与密集度,使用分布式策略,能对簇头节点进行相对均匀的选取、识别和删除.仿真结果表明,改进的算法相比传统算法在预防恶意节点参与数据通信方面更有效,可使无线网络通信更加安全可靠.
Abstract:In order to improve the security and credibility of wireless networks, a novel algorithm based on node trust value is proposed based on the random parallel cluster head selection algorithm. With the distributed strategy, the algorithm can select, identify, and delete cluster head nodes fairly and evenly. Simulation results show that the improved algorithm is more effective than the traditional algorithm in preventing malicious nodes from participating in data communication, and can make wireless network communication more secure and reliable.
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基金项目:广州市科技计划(2017010160012)
引用文本:
周文雄,林穗.无线传感网络恶意节点识别算法.计算机系统应用,2020,29(2):175-180
ZHOU Wen-Xiong,LIN Sui.Malicious Node Recognition Algorithm in Wireless Sensor Networks.COMPUTER SYSTEMS APPLICATIONS,2020,29(2):175-180