计算机科学 ›› 2022, Vol. 49 ›› Issue (12): 319-325.doi: 10.11896/jsjkx.220200155
刘家希1,2,3, 吴娜1,2, 丁飞1,2
LIU Jia-xi1,2,3, WU Na1,2, DING Fei1,2
摘要: 故障检测是构建容错系统的基础组件之一,可以有效保证车联网上的应用安全、可靠地执行。然而,车联网不同于传统移动自组织网络,一方面,车辆具有高速移动性且可能随时加入或者离开系统,容易造成网络环境多变;另一方面,车辆之间的链路也时常发生中断,容易造成消息丢失。为了解决以上问题,提出了一种基于航位推算的层次式的故障检测方法。在该故障检测方法中,利用航位推算模型去预测心跳消息的传输时间,同时考虑路侧单元(Roadside Unit,RSU)作为静态节点构建层次式的检测架构,从而改善车联网中故障检测的性能。通过NS2搭建仿真实验平台以进行验证,结果显示,相比对照的故障检测方法,新提出的故障检测方法在检测速度、检测准确性以及检测负载等方面均具有最好的表现。
中图分类号:
[1]BHOI S,KHILAR P.Self soft fault detection based routing protocol for vehicular ad hoc network in city environment[J].Wireless Networks,2016,22(1),1-21. [2]KHAN A,ABOLHASAN M,WEI N,et al.A hybrid-fuzzy logic guided genetic algorithm(H-FLGA) approach for resource optimization in 5G VANETs[J].IEEE Transactions on Vehicular Technology,2019,68(7):6964-6974. [3]ZHAO Z,GUARDALBEN L,KAIMZADEH M,et al.Mobility prediction-assisted over-the-top edge prefetching for hierarchical VANETs[J].IEEE Journal on Selected Areas in Communications,2018,36(8):1786-1801. [4]CUI J,WEI L,ZHONG H,et al.Edge computing in VANETs-an efficient and privacy-preserving cooperative downloading scheme[J].IEEE Journal on Selected Areas in Communications,2020,38(6):1191-1204. [5]CAO S,LEE V.A novel adaptive TDMA-based MAC protocol for VANETs[J].IEEE Communications Letters,2018,22(3):614-617. [6]SINGH R,SALUJA K S.Graphical approach for V2V connectivity enhancement in clustering-based VANET[J].IEEE Wireless Communication Letters,2021,10(6):1217-1221. [7]PATRA M,MURTHY C.Performance evaluation of jointplacement and sleep scheduling of grid-connected solar powered road side units in vehicular networks[J].IEEE Transactions on Green Communications and Networking,2018,2(4):1197-1209. [8]XIAO L,LU X,XU D,et al.UAV relay in VANETs against smart jamming with reinforcement learning[J].IEEE Transactions on Vehicular Technology,2018,67(5):4087-4097. [9]YANG F,HAN J,DING X,et al.Spectral efficiency optimization and interference management for multi-Hop D2D communications in VANETs[J].IEEE Transactions on Vehicular Technology,2020,69(6):6422-6436. [10]LIN N,FU L,ZHAO L,et al.A novel multimodal collaborative drone-assisted VANET net-working model[J].IEEE Transactions on Wireless Communications,2020,19(7):4919-4933. [11]CHEN J,WANG Z.Topology control in hybrid VLC/RF vehi-cular ad-hoc network[J].IEEE Transactions on Wireless Communications,2020,19(3):1965-1976. [12]CHANDRA T,TOUEG S.Unreliable failure detectors for reliable distributed systems[J].Journal of the ACM,1996,43(2):225-267. [13]CHEN W,TOUEG S,AGUILERA M K.On the quality of ser-vice of failure detectors[J].IEEE Transactions on Computers,2002,51(1):13-32. [14]BENHAMIDA F Z,CHALLAL Y,KOUDIL M.Adaptive fai-lure detection in low power lossy wireless sensor networks[J].Journal of Network and Computer Applications,2014,45(4):168-180. [15]ZHANG H,QIAN Z,LIU J,et al.Fault detection and repairing for intelligent connected vehicles based on dynamic bayesian network model[J].IEEE Internet of Things Journal,2018,5(4):2431-2440. [16]LI F,SONG X,CHEN H,et al.Hierarchical routing for vehicular ad hoc networks via reinforcement learning[J].IEEE Transa-ctions on Vehicular Technology,2019,68(2):1852-1865. [17]SHAREF T,ALSAQOURl A,ISMAIL M.Vehicular communication ad hoc routing protocols:A survey[J].Journal of Network and Computer Applications,2014,40(1):363-396. [18]YU N,ZHAN X,ZHAO S,et al.A precise dead reckoning algorithm based on bluetooth and multiple sensors[J].IEEE Internet of Things Journal,2017,5(1):336-351. [19]CHEN H,LI F,WANG Y.SoundMark:accurate indoor localization via peer-assisted dead reckoning[J].IEEE Internet of Things Journal,2018,5(6):4803-4815. [20]SOTOMA I,MADEIRA E R.ADAPTATION-Algorithms toadaptive fault monitoring and their implementation on CORBA[C]//Proceedings of 3rd International Symposium on Distributed Objects and Applications.2001:219-228. [21]FETZER C,RAYNAL M,TRONEL F.An adaptive failure detection protocol[C]//Proceedings of 2001 Pacific Rim International Symposium on Dependable Computing.2001:146-153. [22]TOMSIC A,SENS P,GARCIA J,et al.2W-FD:A Failure Detector Algorithm with QoS[C]//Proceedings of 2015 IEEE International Parallel and Distributed Proceedingsessing Sympo-sium.2015:85-893. [23]ALJERI N,ALMULLA M,BOUKERCHE A.An efficient fault detection and diagnosis protocol for vehicular networks[C]//Proceedings of ACM International Symposium on Design &Analysis of Intelligent Vehicular Networks & Applications.2013:23-29. [24]SALFNER F,LENK M,MALEK M.A survey of online failure prediction methods[J].ACM Computing Surveys,2010,42(3):1-42. [25]FELBER P,DEFAGO X,GUERRAOUI R,et al.Failure detectors as first class objects[C]//Proceedings of the International Symposium on Distributed Objects and Applications.1999:132-141. [26]VAN R,MINSKY Y,HAYDEN M.A gossip-style failure detection service[C]//Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Proceedings.2009:55-70. [27]SNYDER S,CARNS P,JENKINS J,et al.A case for epidemic fault detection and group membership in HPC storage systems[C]//Proceedings of International Workshop on Performance Modeling,Benchmarking and Simulation of High Performance Computer Systems.2014:237-248. [28]CAMBRUZZI E,FARINES J,MACEDO J,et al.An adaptivefailure detection system for vehicular ad-hoc networks[C]//Processing of IEEE Intelligent Vehicles Symposium.2010:603-608. [29]CHEN H,LI F,WANG Y.Sound mark:accurate Indoor localization via peer-assisted dead reckoning[J].IEEE Internet of Things Journal,2018,5(6):4803-4815. [30]PASK V.A magnetic ranging-aided dead-reckoning positioning system for pedestrian applications[J].IEEE Transactions on Instrumentation And Measurement,2017,66(5):953-963. |
[1] | 陈晶, 吴玲玲. 多源异构环境下的车联网大数据混合属性特征检测方法 Mixed Attribute Feature Detection Method of Internet of Vehicles Big Datain Multi-source Heterogeneous Environment 计算机科学, 2022, 49(8): 108-112. https://doi.org/10.11896/jsjkx.220300273 |
[2] | 陈彦冰, 钟超然, 周超然, 薛凌妍, 黄海平. 基于医疗联盟链的跨域认证方案设计 Design of Cross-domain Authentication Scheme Based on Medical Consortium Chain 计算机科学, 2022, 49(6A): 537-543. https://doi.org/10.11896/jsjkx.220200139 |
[3] | 李博, 向海昀, 张宇翔, 廖浩德. 面向食品溯源场景的PBFT优化算法应用研究 Application Research of PBFT Optimization Algorithm for Food Traceability Scenarios 计算机科学, 2022, 49(6A): 723-728. https://doi.org/10.11896/jsjkx.210800018 |
[4] | 冯了了, 丁滟, 刘坤林, 马科林, 常俊胜. 区块链BFT共识算法研究进展 Research Advance on BFT Consensus Algorithms 计算机科学, 2022, 49(4): 329-339. https://doi.org/10.11896/jsjkx.210700011 |
[5] | 宋涛, 李秀华, 李辉, 文俊浩, 熊庆宇, 陈杰. 大数据时代下车联网安全加密认证技术研究综述 Overview of Research on Security Encryption Authentication Technology of IoV in Big Data Era 计算机科学, 2022, 49(4): 340-353. https://doi.org/10.11896/jsjkx.210400112 |
[6] | 张海波, 张益峰, 刘开健. 基于NOMA-MEC的车联网任务卸载、迁移与缓存策略 Task Offloading,Migration and Caching Strategy in Internet of Vehicles Based on NOMA-MEC 计算机科学, 2022, 49(2): 304-311. https://doi.org/10.11896/jsjkx.210100157 |
[7] | 王先圣, 严珂. 基于联邦学习的暖通空调系统故障检测与诊断 Fault Detection and Diagnosis of HVAC System Based on Federated Learning 计算机科学, 2022, 49(12): 74-80. https://doi.org/10.11896/jsjkx.220700280 |
[8] | 王博, 华庆一, 舒新峰. 基于云平台日志的故障检测和复杂构件系统即时可靠性度量研究 Study on Anomaly Detection and Real-time Reliability Evaluation of Complex Component System Based on Log of Cloud Platform 计算机科学, 2022, 49(12): 125-135. https://doi.org/10.11896/jsjkx.220200106 |
[9] | 朱宗武, 黄汝维. 基于高效全同态加密的安全多方计算协议 Secure Multi-party Computing Protocol Based on Efficient Fully Homomorphic Encryption 计算机科学, 2022, 49(11): 345-350. https://doi.org/10.11896/jsjkx.210900047 |
[10] | 谢卓, 张志鸿, 李磊, 冯英杰, 陈静. 基于联盟链的实用拜占庭容错算法的改进 Improvement of PBFT Algorithm Based on Consortium Blockchain 计算机科学, 2022, 49(11): 360-367. https://doi.org/10.11896/jsjkx.210900178 |
[11] | 薛艳芬, 高继梅, 范贵生, 虞慧群, 许亚杰. 边缘计算中基于能耗感知的容错协同任务执行算法 Energy-aware Fault-tolerant Collaborative Task Execution Algorithm in Edge Computing 计算机科学, 2021, 48(6A): 374-382. https://doi.org/10.11896/jsjkx.200900027 |
[12] | 唐亮, 李飞. 基于决策树的车联网安全态势预测模型研究 Research on Forecasting Model of Internet of Vehicles Security Situation Based on Decision Tree 计算机科学, 2021, 48(6A): 514-517. https://doi.org/10.11896/jsjkx.200700158 |
[13] | 俞建业, 戚湧, 王宝茁. 基于Spark的车联网分布式组合深度学习入侵检测方法 Distributed Combination Deep Learning Intrusion Detection Method for Internet of Vehicles Based on Spark 计算机科学, 2021, 48(6A): 518-523. https://doi.org/10.11896/jsjkx.200700129 |
[14] | 徐佳庆, 胡小月, 唐付桥, 王强, 何杰. 基于随机森林的高性能互连网络阻塞故障检测 Detecting Blocking Failure in High Performance Interconnection Networks Based on Random Forest 计算机科学, 2021, 48(6): 246-252. https://doi.org/10.11896/jsjkx.201200142 |
[15] | 易怡, 樊建席, 王岩, 刘钊, 董辉. BCube在2-限制连通度下的容错路由算法 Fault-tolerant Routing Algorithm in BCube Under 2-restricted Connectivity 计算机科学, 2021, 48(6): 253-260. https://doi.org/10.11896/jsjkx.200900203 |
|