基于异常事件驱动的簇结构的检测算法An algorithm for abnormal event driven cluster topology detection
常坤,武风波,张渤,刘海强
摘要(Abstract)：
有效地使用传感节点能量,并提高检测异常事件概率,成为无线传感网络应用研究热点。为此,提出基于异常事件驱动的簇结构的检测算法(AEDCTD)。AEDCTD算法通过异常事件位置建立簇,然后由簇内节点检测事件。在建立簇时,考虑了节点对事件的检测概率及节点剩余能量,只有当剩余能量大于能量阈值的节点才可能加入簇。同时,引用动态能量阈值,平衡能耗。实验数据表明,AEDCTD算法具有较低的漏检率,同时,AEDCTD算法与CCM和GEP-ADS算法的能耗相比分别降低了近4.1%和5.8%。
关键词(KeyWords)： 无线传感网;异常事件;簇;节点能量;检测算法;漏检率
基金项目(Foundation): 中国博士后科学基金(2016M592817);; 西安科技大学博士启动金项目(2013QDJ044)~~
作者(Author): 常坤,武风波,张渤,刘海强
DOI: 10.16652/j.issn.1004-373x.2018.20.009
参考文献(References)：
- [1] MURUGANATHAN S D,MA D C F,BHASIN R I,et al. A centralized energy-efficient routing protocol for wireless sensor networks[J]. IEEE communications magazine,2005,43(3):8-13.
- [2]归奕红.无线传感器网络HEDSA数据聚合研究[J].计算机工程,2011,37(7):160-162.GUI Yihong. Research on HEDSA data aggregation of wireless sensor network[J]. Computer engineering,2011,37(7):160-162.
- [3]沈艳霞,薛小松.无线传感器网络移动信标节点路径优化策略[J].传感器与微系统,2012,31(12):42-44.SHEN Yanxia,XUE Xiaosong. Path optimization strategy of WSNs mobile beacon nodes[J]. Transducer and microsystem technologies,2012,31(12):42-44.
- [4]曹冬磊,曹建农,金蓓弘.一种无线传感器网络中事件区域检测的容错算法[J].计算机学报,2007,30(10):1770-1776.CAO Donglei,CAO Jiannong,JIN Beihong. A fault-tolerant algorithm for event region detection in wireless sensor networks[J]. Chinese journal of computers,2007,30(10):1770-1776.
- [5] TYAGI S,KUMAR N. A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks[J]. Journal of network&computer applications,2013,36(2):623-645.
- [6]肖政宏,陈志刚,李庆华.WSN中基于分布式机器学习的异常检测仿真研究[J].系统仿真学报,2011,23(1):181-187.XIAO Zhenghong, CHEN Zhigang, LI Qinghua. Simulation study of anomaly detection based on distributed machine learning for WSN[J]. Journal of system simulation,2011,23(1):181-187.
- [7]朱翠涛,瞿毅.基于压缩感知的稀疏事件检测[J].中南民族大学学报(自然科学版),2011,30(1):80-83.ZHU Cuitao,QU Yi. Sparse event detection based on compressive sensing[J]. Journal of South-Central University for Nationalities(Natural science edition),2011,30(1):80-83.
- [8] JAVAID N,QURESHI T N,KHAN A H,et al. EDDEEC:enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks[J]. Procedia computer science,2013,19:914-919.
- [9] GAO Honglei,CHEN Guolong,GUO Wenzhong. A GEP-based anomaly detection scheme in wireless sensor networks[C]//Proceedings of International Conference on Computational Science and Engineering. Vancouver:IEEE,2009:817-822.
- [10] SOUSA L D,FRERY A C,NAKAMURA E F,et al. Event detection framework for wireless sensor networks considering data anomaly[C]//Proceedings of IEEE Symposium on Computers and Communications. Cappadocia:IEEE,2012:500-507.