• 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

物联网中基于SCTP和TCP的异构无线网络分布式传感器并行传输

Parallel Transmission of Distributed Sensor Based on SCTP and TCP for Heterogeneous Wireless Networks in IoT.

作者信息

Sun Weifeng, Yu Shumiao, Xing Yuanxun, Qin Zhenquan

机构信息

School of Software, Dalian University of Technology, Dalian 116620, China.

出版信息

Sensors (Basel). 2019 Apr 29;19(9):2005. doi: 10.3390/s19092005.

DOI:10.3390/s19092005
PMID:31035666
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6539226/
Abstract

Sensors in the Internet of Things (IoT) generate large amounts of data, which requires high-speed data transmission. In order to achieve the parallel transmissions of the wireless sensor network on the transmission layer, the performance of stream control transmission protocol (SCTP) and transmission control protocol (TCP) in the wireless sensor network under different packet error rates was simulated and compared. A dynamic multipath handover method for SCTP (MS-SCTP) was proposed to improve the transmission performance, which selects the transmission path according to the packet error rate and the retransmission ratio in the sender's buffer. The TCP and SCTP protocol switching method (TCP-SCTP) was proposed to detect the current network traffic and adjust the MS-SCTP or TCP method. Analysis and simulation results show that MS-SCTP and TCP-SCTP could improve network throughput and reduce packet loss rate. MS-SCTP and TCP-SCTP can be combined with other technologies and channel allocation algorithms to improve network traffic.

摘要

物联网（IoT）中的传感器会生成大量数据，这需要高速数据传输。为了在传输层实现无线传感器网络的并行传输，对流控制传输协议（SCTP）和传输控制协议（TCP）在不同丢包率下的无线传感器网络性能进行了模拟和比较。提出了一种用于SCTP的动态多路径切换方法（MS-SCTP）来提高传输性能，该方法根据发送方缓冲区中的丢包率和重传率选择传输路径。提出了TCP和SCTP协议切换方法（TCP-SCTP）来检测当前网络流量并调整MS-SCTP或TCP方法。分析和模拟结果表明，MS-SCTP和TCP-SCTP可以提高网络吞吐量并降低丢包率。MS-SCTP和TCP-SCTP可以与其他技术和信道分配算法相结合，以改善网络流量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/2eb5581074b4/sensors-19-02005-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/53289d3e0571/sensors-19-02005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/9c4306572484/sensors-19-02005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/f1d3a5627b04/sensors-19-02005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/199aa3162e33/sensors-19-02005-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/76469f1ad432/sensors-19-02005-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/0b113411466c/sensors-19-02005-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/d6566bfa94a3/sensors-19-02005-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/c0d83b69b323/sensors-19-02005-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/319a15236bd0/sensors-19-02005-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/2eb5581074b4/sensors-19-02005-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/53289d3e0571/sensors-19-02005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/9c4306572484/sensors-19-02005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/f1d3a5627b04/sensors-19-02005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/199aa3162e33/sensors-19-02005-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/76469f1ad432/sensors-19-02005-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/0b113411466c/sensors-19-02005-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/d6566bfa94a3/sensors-19-02005-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/c0d83b69b323/sensors-19-02005-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/319a15236bd0/sensors-19-02005-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1394/6539226/2eb5581074b4/sensors-19-02005-g010a.jpg

相似文献

1
Parallel Transmission of Distributed Sensor Based on SCTP and TCP for Heterogeneous Wireless Networks in IoT.物联网中基于SCTP和TCP的异构无线网络分布式传感器并行传输
Sensors (Basel). 2019 Apr 29;19(9):2005. doi: 10.3390/s19092005.
2
Traffic Priority Based Channel Assignment Technique for Critical Data Transmission in Wireless Body Area Network.基于流量优先级的无线体域网关键数据传输信道分配技术。
J Med Syst. 2018 Sep 20;42(11):206. doi: 10.1007/s10916-018-1054-y.
3
Multipath TCP-Based IoT Communication Evaluation: From the Perspective of Multipath Management with Machine Learning.基于多路径TCP的物联网通信评估：从机器学习多路径管理的视角
Sensors (Basel). 2020 Nov 18;20(22):6573. doi: 10.3390/s20226573.
4
An Adaptive Network Coding Scheme for Multipath Transmission in Cellular-Based Vehicular Networks.一种基于蜂窝的车载网络中多径传输的自适应网络编码方案。
Sensors (Basel). 2020 Oct 19;20(20):5902. doi: 10.3390/s20205902.
5
Improving Congestion Control of TCP for Constrained IoT Networks.改善受限物联网网络中TCP的拥塞控制
Sensors (Basel). 2020 Aug 24;20(17):4774. doi: 10.3390/s20174774.
6
A Fault-Tolerant Transmission Scheme in SDN-Based Industrial IoT (IIoT) over Fiber-Wireless Networks.一种基于光纤无线网络的软件定义网络（SDN）工业物联网（IIoT）中的容错传输方案。
Entropy (Basel). 2022 Jan 20;24(2):157. doi: 10.3390/e24020157.
7
Optimizing Retransmission Threshold in Wireless Sensor Networks.优化无线传感器网络中的重传阈值
Sensors (Basel). 2016 May 10;16(5):665. doi: 10.3390/s16050665.
8
A Privacy Preservation Secure Cross Layer Protocol Design for IoT Based Wireless Body Area Networks Using ECDSA Framework.基于 ECDSA 框架的物联网无线体域网中隐私保护安全跨层协议设计。
J Med Syst. 2018 Sep 13;42(10):196. doi: 10.1007/s10916-018-1050-2.
9
A Preemptive Priority-Based Data Fragmentation Scheme for Heterogeneous Traffic in Wireless Sensor Networks.一种用于无线传感器网络中异构流量的抢占式优先级数据分片方案。
Sensors (Basel). 2018 Dec 17;18(12):4473. doi: 10.3390/s18124473.
10
A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks.一种用于大规模超密集无线传感器网络的低冲突高吞吐量数据收集机制。
Sensors (Basel). 2016 Jul 18;16(7):1108. doi: 10.3390/s16071108.

引用本文的文献

1
Web Real-Time Communications-Based Unmanned-Aerial-Vehicle-Borne Internet of Things and Stringent Time Sensitivity: A Case Study.基于网络实时通信的无人机物联网与严格时间敏感性：案例研究
Sensors (Basel). 2025 Jan 17;25(2):524. doi: 10.3390/s25020524.

本文引用的文献

1
BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation.BeeKeeper 2.0：具有完全同态计算功能的保密区块链赋能物联网系统。
Sensors (Basel). 2018 Nov 5;18(11):3785. doi: 10.3390/s18113785.
2
SDN Architecture for 6LoWPAN Wireless Sensor Networks.用于 6LoWPAN 无线传感器网络的 SDN 架构。
Sensors (Basel). 2018 Nov 2;18(11):3738. doi: 10.3390/s18113738.
3
A Study on the Design of Fog Computing Architecture Using Sensor Networks.基于传感器网络的雾计算架构设计研究。
Sensors (Basel). 2018 Oct 26;18(11):3633. doi: 10.3390/s18113633.
4
Energy-Effective Power Control Algorithm with Mobility Prediction for 5G Heterogeneous Cloud Radio Access Network.具有移动性预测的 5G 异构云无线接入网的高能效功率控制算法。
Sensors (Basel). 2018 Sep 1;18(9):2904. doi: 10.3390/s18092904.
5
Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks.用于无线传感器网络高效通信的聚类与波束形成
Sensors (Basel). 2016 Aug 20;16(8):1334. doi: 10.3390/s16081334.