• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 TSCH 的 SDN WISE 切片增强技术

Enhancing SDN WISE with Slicing Over TSCH.

机构信息

Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain.

Departamento de Comunicaciones (DCOM), Universitat Politècnica de València (UPV), 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2021 Feb 4;21(4):1075. doi: 10.3390/s21041075.

DOI:10.3390/s21041075
PMID:33557295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7914488/
Abstract

IWSNs (Industrial Wireless Sensor Networks) have become the next step in the evolution of WSN (Wireless Sensor Networks) due to the nature and demands of modern industry. With this type of network, flexible and scalable architectures can be created that simultaneously support traffic sources with different characteristics. Due to the great diversity of application scenarios, there is a need to implement additional capabilities that can guarantee an adequate level of reliability and that can adapt to the dynamic behavior of the applications in use. The use of SDNs (Software Defined Networks) extends the possibilities of control over the network and enables its deployment at an industrial level. The signaling traffic exchanged between nodes and controller is heavy and must occupy the same channel as the data traffic. This difficulty can be overcome with the segmentation of the traffic into flows, and correct scheduling at the MAC (Medium Access Control) level, known as slices. This article proposes the integration in the SDN controller of a traffic manager, a routing process in charge of assigning different routes according to the different flows, as well as the introduction of the Time Slotted Channel Hopping (TSCH) Scheduler. In addition, the TSCH (Time Slotted Channel Hopping) is incorporated in the SDN-WISE framework (Software Defined Networking solution for Wireless Sensor Networks), and this protocol has been modified to send the TSCH schedule. These elements are jointly responsible for scheduling and segmenting the traffic that will be sent to the nodes through a single packet from the controller and its performance has been evaluated through simulation and a testbed. The results obtained show how flexibility, adaptability, and determinism increase thanks to the joint use of the routing process and the TSCH Scheduler, which makes it possible to create a slicing by flows, which have different quality of service requirements. This in turn helps guarantee their QoS characteristics, increase the PDR (Packet Delivery Ratio) for the flow with the highest priority, maintain the DMR (Deadline Miss Ratio), and increase the network lifetime.

摘要

工业无线传感器网络(IWSNs)由于现代工业的性质和需求,成为了无线传感器网络(WSNs)的下一步发展。通过这种类型的网络,可以创建灵活和可扩展的架构,同时支持具有不同特征的流量源。由于应用场景的多样性,需要实现额外的功能,以保证足够的可靠性,并适应正在使用的应用程序的动态行为。SDN(软件定义网络)的使用扩展了对网络的控制能力,并使其能够在工业层面部署。节点和控制器之间交换的信令流量很大,必须占用与数据流量相同的信道。通过将流量分段为流,并在 MAC(介质访问控制)级别进行正确调度,称为切片,可以克服这一困难。本文提出在 SDN 控制器中集成流量管理器,该管理器负责根据不同的流分配不同的路由,以及引入时间分片信道跳频(TSCH)调度程序。此外,TSCH(时间分片信道跳频)被纳入 SDN-WISE 框架(用于无线传感器网络的软件定义网络解决方案)中,并且修改了该协议以发送 TSCH 计划。这些元素共同负责通过控制器的单个数据包向节点发送流量的调度和分段,并且已经通过仿真和测试床评估了其性能。所获得的结果表明,由于路由过程和 TSCH 调度程序的联合使用,灵活性、适应性和确定性如何提高,这使得可以通过流创建切片,这些切片具有不同的服务质量要求。这反过来又有助于保证它们的服务质量特征,提高具有最高优先级的流的 PDR(分组投递率),保持 DMR(截止日期错过率),并延长网络寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/aee016b56673/sensors-21-01075-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/3541b001dc6f/sensors-21-01075-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/2b1e3e4bd3a4/sensors-21-01075-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/62b955c48f60/sensors-21-01075-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/ab8c4c96ce7f/sensors-21-01075-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/0eb218711d59/sensors-21-01075-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/0421b6cee3ba/sensors-21-01075-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/1373a39a6e08/sensors-21-01075-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/31f856b080f2/sensors-21-01075-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/e62851a986e9/sensors-21-01075-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/9787bedbf7ff/sensors-21-01075-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/6574ef701e02/sensors-21-01075-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/895d3a5f1704/sensors-21-01075-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/ceb031a7eaa5/sensors-21-01075-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/261e4d7caef5/sensors-21-01075-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/07f4310f8655/sensors-21-01075-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/aee016b56673/sensors-21-01075-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/3541b001dc6f/sensors-21-01075-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/2b1e3e4bd3a4/sensors-21-01075-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/62b955c48f60/sensors-21-01075-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/ab8c4c96ce7f/sensors-21-01075-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/0eb218711d59/sensors-21-01075-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/0421b6cee3ba/sensors-21-01075-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/1373a39a6e08/sensors-21-01075-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/31f856b080f2/sensors-21-01075-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/e62851a986e9/sensors-21-01075-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/9787bedbf7ff/sensors-21-01075-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/6574ef701e02/sensors-21-01075-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/895d3a5f1704/sensors-21-01075-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/ceb031a7eaa5/sensors-21-01075-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/261e4d7caef5/sensors-21-01075-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/07f4310f8655/sensors-21-01075-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a8f/7914488/aee016b56673/sensors-21-01075-g016.jpg

相似文献

1
Enhancing SDN WISE with Slicing Over TSCH.基于 TSCH 的 SDN WISE 切片增强技术
Sensors (Basel). 2021 Feb 4;21(4):1075. doi: 10.3390/s21041075.
2
Application-Aware Scheduling for IEEE 802.15.4e Time-Slotted Channel Hopping Using Software-Defined Wireless Sensor Network Slicing.使用软件定义无线传感器网络切片的IEEE 802.15.4e时隙信道跳频的应用感知调度
Sensors (Basel). 2023 Aug 12;23(16):7143. doi: 10.3390/s23167143.
3
Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH.自动扶梯:一种用于TSCH汇聚广播的自主调度方案。
Sensors (Basel). 2018 Apr 16;18(4):1209. doi: 10.3390/s18041209.
4
Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks.基于时分信道跳频的 IPv6 无线传感器网络中的流量感知调度器。
Sensors (Basel). 2022 Aug 25;22(17):6397. doi: 10.3390/s22176397.
5
Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks.时分信道跳频和 ContikiMAC 用于支持 IPv6 的无线传感器网络组播。
Sensors (Basel). 2021 Mar 4;21(5):1771. doi: 10.3390/s21051771.
6
TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks.工业无线传感器网络的TSCH和RPL连接时间模型
Sensors (Basel). 2021 Jun 5;21(11):3904. doi: 10.3390/s21113904.
7
Quality of Service-Aware Multi-Objective Enhanced Differential Evolution Optimization for Time Slotted Channel Hopping Scheduling in Heterogeneous Internet of Things Sensor Networks.面向异构物联网传感器网络中时隙信道跳频调度的服务质量感知多目标增强差分进化优化
Sensors (Basel). 2024 Sep 15;24(18):5987. doi: 10.3390/s24185987.
8
Bell-X, An Opportunistic Time Synchronization Mechanism for Scheduled Wireless Sensor Networks.贝尔-X:一种适用于预定无线传感器网络的机会时间同步机制。
Sensors (Basel). 2019 Sep 24;19(19):4128. doi: 10.3390/s19194128.
9
A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks.TSCH-RPL 无线传感器网络的联合过程和同步。
Sensors (Basel). 2018 Oct 20;18(10):3556. doi: 10.3390/s18103556.
10
Distributed Channel Ranking Scheduling Function for Dense Industrial 6TiSCH Networks.密集型工业 6TiSCH 网络的分布式信道排名调度功能。
Sensors (Basel). 2021 Feb 25;21(5):1593. doi: 10.3390/s21051593.

引用本文的文献

1
Application-Aware Scheduling for IEEE 802.15.4e Time-Slotted Channel Hopping Using Software-Defined Wireless Sensor Network Slicing.使用软件定义无线传感器网络切片的IEEE 802.15.4e时隙信道跳频的应用感知调度
Sensors (Basel). 2023 Aug 12;23(16):7143. doi: 10.3390/s23167143.

本文引用的文献

1
Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH.在IEEE 802.15.4 TSCH中使用双向并行会合的快速同步方案
Sensors (Basel). 2020 Feb 27;20(5):1303. doi: 10.3390/s20051303.
2
A Survey on Congestion Control for RPL-Based Wireless Sensor Networks.基于RPL的无线传感器网络拥塞控制研究
Sensors (Basel). 2019 Jun 5;19(11):2567. doi: 10.3390/s19112567.
3
A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks.TSCH-RPL 无线传感器网络的联合过程和同步。
Sensors (Basel). 2018 Oct 20;18(10):3556. doi: 10.3390/s18103556.
4
Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH.自动扶梯:一种用于TSCH汇聚广播的自主调度方案。
Sensors (Basel). 2018 Apr 16;18(4):1209. doi: 10.3390/s18041209.