摘要
在无线传感器网络(WSN)中,基于静态路径的代理迁移协议能耗较大,存在较多恶意节点。为此,在能量模型和定向虚拟骨干网的基础上,提出一种定向虚拟骨干网的移动代理迁移(DVB-MAM)协议。该协议利用静态路径计算代理迁移,基于能量模型和定向虚拟骨干网得到代理迁移的下一个节点,使用代理克隆功能减少代理的路径长度。在数据聚合过程中使用信任评价框架检测恶意节点,能够在早期发现恶意节点。实验结果表明,与基于树的路线设计算法相比,提出的协议能耗减少了约26%。当存在恶意节点时,与其他协议相比,该协议的平均投递率最多可提高26%,能够有效预防节点故障和防御恶意节点攻击。
In the Wireless Sensor Network (WSN), the Agent migration prococol based on the static path has high energy comsumption, and there are many malicious nodes. To solve these problems, a Directional Virtual Backbone- Mobile Agent Migration (DVB-MAM) protocol is proposed based on energy model and directional virtual backbone network. The protocol uses the static path to calculate Agent migration and determines the next node of Agent migration based on energy model and directional virtual backbone. In addition, cloning features are used to reduce the route length of the Agent. In the process of data aggregation, a trust evaluation framework is used to detect malicious nodes. And malicious nodes can be found at an early stage. Experimental results show that the energy consumption of the proposed protocol is decreased by about 26% compared with that of Tree Based Itineraries Design(TBID). When malicious nodes exist, compared with other existing protocols, the highest average delivery rate of the proposed protocol can be increased by 26% ,which can effectively prevent node failures and the attacks of malicious nodes.
出处
《计算机工程》
CAS
CSCD
北大核心
2016年第7期139-145,共7页
Computer Engineering
基金
国家自然科学基金资助项目(61103143)
河南省软科学研究计划基金资助项目(142400411133)
海南省科技攻关计划基金资助项目(152102210367)
关键词
无线传感器网络
代理迁移协议
恶意节点检测
能量模型
定向虚拟骨干网
Wireless Sensor Network (WSN)
Agent migration protocol
malicious node detecting
energy model
directional virtual backbone