RNFD:低功耗无线网络中DODAG(根)节点故障的路由层检测

K. Iwanicki
{"title":"RNFD:低功耗无线网络中DODAG(根)节点故障的路由层检测","authors":"K. Iwanicki","doi":"10.5555/2959355.2959368","DOIUrl":null,"url":null,"abstract":"While routing protocols for low-power wireless networks, such as CTP or RPL, handle link failures relatively well, node failures have received considerably less research attention. This paper thus studies crash-failures of destination nodes in distance-vector routing, that is, failures of so-called DODAG root nodes. First, it demonstrates empirically that handling root node crashes in existing state-of-the-art routing protocols leaves room for improvement or even fails completely in some cases. Second, based on an analysis of this behavior, the paper proposes RNFD, a new algorithm that explicitly tracks node failures at the routing layer. The algorithm is designed as a framework that complements rather than replaces regular route maintenance algorithms, which facilitates its integration with the existing protocols. Third, the paper evaluates a prototype implementation of RNFD through simulations and testbed experiments. In particular, it demonstrates that, with little information overhead, RNFD can speed up node failure detection by an order of magnitude and considerably reduce the traffic during the process.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"RNFD: Routing-Layer Detection of DODAG (Root) Node Failures in Low-Power Wireless Networks\",\"authors\":\"K. Iwanicki\",\"doi\":\"10.5555/2959355.2959368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While routing protocols for low-power wireless networks, such as CTP or RPL, handle link failures relatively well, node failures have received considerably less research attention. This paper thus studies crash-failures of destination nodes in distance-vector routing, that is, failures of so-called DODAG root nodes. First, it demonstrates empirically that handling root node crashes in existing state-of-the-art routing protocols leaves room for improvement or even fails completely in some cases. Second, based on an analysis of this behavior, the paper proposes RNFD, a new algorithm that explicitly tracks node failures at the routing layer. The algorithm is designed as a framework that complements rather than replaces regular route maintenance algorithms, which facilitates its integration with the existing protocols. Third, the paper evaluates a prototype implementation of RNFD through simulations and testbed experiments. In particular, it demonstrates that, with little information overhead, RNFD can speed up node failure detection by an order of magnitude and considerably reduce the traffic during the process.\",\"PeriodicalId\":137855,\"journal\":{\"name\":\"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/2959355.2959368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/2959355.2959368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

虽然用于低功耗无线网络的路由协议(如CTP或RPL)相对较好地处理了链路故障,但节点故障得到的研究关注却相当少。因此,本文研究距离矢量路由中目的节点的崩溃故障,即所谓DODAG根节点的故障。首先,它从经验上证明了在现有的最先进的路由协议中处理根节点崩溃留下了改进的空间,甚至在某些情况下完全失败。其次,在分析这种行为的基础上,提出了一种新的RNFD算法,该算法在路由层显式跟踪节点故障。该算法被设计成一个补充而不是取代常规路由维护算法的框架,这有利于它与现有协议的集成。第三,通过仿真和试验台实验对RNFD的原型实现进行了评价。特别是,它证明了在信息开销很小的情况下,RNFD可以将节点故障检测的速度提高一个数量级,并大大减少了过程中的流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RNFD: Routing-Layer Detection of DODAG (Root) Node Failures in Low-Power Wireless Networks
While routing protocols for low-power wireless networks, such as CTP or RPL, handle link failures relatively well, node failures have received considerably less research attention. This paper thus studies crash-failures of destination nodes in distance-vector routing, that is, failures of so-called DODAG root nodes. First, it demonstrates empirically that handling root node crashes in existing state-of-the-art routing protocols leaves room for improvement or even fails completely in some cases. Second, based on an analysis of this behavior, the paper proposes RNFD, a new algorithm that explicitly tracks node failures at the routing layer. The algorithm is designed as a framework that complements rather than replaces regular route maintenance algorithms, which facilitates its integration with the existing protocols. Third, the paper evaluates a prototype implementation of RNFD through simulations and testbed experiments. In particular, it demonstrates that, with little information overhead, RNFD can speed up node failure detection by an order of magnitude and considerably reduce the traffic during the process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信