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融合信誉评估与巡查机制的WSN能量高效安全成簇算法
胡向东,邢有权,何文祥
0
(重庆邮电大学 自动化学院,重庆 400065;重庆邮电大学 通信与信息工程学院,重庆 400065)
摘要:
无线传感网(Wireless Sensor Network,WSN)因节点众多、通信开放、资源有限,且通常部署在无人值守区域,表现出明显的安全脆弱性。提出了基于具有能量高效特征巡查机制的WSN安全应对模式,设计出了一种融合信誉评估与巡查机制的WSN安全成簇算法:首先构建簇化层次式网络模型,基于节点的剩余能量和簇质心距离选取簇头节点,提升节点能量消耗的均衡性;并建立节点信誉评估模型,通过巡查机制随机检测节点的通信行为,基于节点行为对信息安全的威胁程度,利用指数函数计算并及时更新节点的信誉值,放大性地惩罚节点的异常行为,有助于节能和快速发现恶意节点。仿真测试结果表明,算法能够均衡传感器节点的能量消耗,在不明显缩短网络生命周期的情况下,对无线传感网中恶意节点具有较高的检测速率和97%的检测率。
关键词:  无线传感网络  成簇  恶意节点检测  巡查机制  信誉评估
DOI:
基金项目:教育部-中国移动联合基金(MCM20150202);重庆市教委科学技术研究项目(KJ1602201)
An energy-efficient secure clustering algorithm fusing reputation evaluation and patrol mechanism for WSN
HU Xiangdong,XING Youquan,HE Wenxiang
(School of Automation, Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Telecommunications and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
Abstract:
Wireless sensor network(WSN) holds obvious vulnerabilities in security due to its large number of nodes,open communication,limited resources,and deployment in unattended areas.A secure mode for WSN characterized by efficient energy based on the patrol mechanism is initially proposed in this paper,and a WSN securely clustering algorithm which integrates reputation evaluation and patrol mechanism is designed.Firstly,a hierarchical clustered network model is built,and the cluster head node is selected according to the residual energy of the nodes and the centroid distance of cluster to improve the balance of energy consumption of the node.Then,it establishes the model of node′s reputation evaluation,randomly checks the communication behavior of nodes through the patrol mechanism,and calculates and timely updates the reputation value of nodes by exponential function according to the threat level of nodes′ behavior against information security to more greatly punish any node because of its abnormal behavior,which is helpful to save energy and quickly detect any malicious nodes.The simulation test results show that the proposed algorithm can balance the energy consumption of sensor nodes,and a higher detection speed and 97% detection rate of malicious nodes in wireless sensor networks can be obtained without significantly reducing the lifetime of the network.
Key words:  wireless sensor networks(WSN)  clustering  malicious node detection  patrol mechanism  reputation evaluation
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