• 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

EMS:基于物联网的车联网中延迟容忍网络(VDTNs)中检测非合作节点的有效监测系统。

EMS: Efficient Monitoring System to Detect Non-Cooperative Nodes in IoT-Based Vehicular Delay Tolerant Networks (VDTNs).

机构信息

Department of Computer Science and Bioinformatics, Khushal Khan Khattak University, Karak 27000, Pakistan.

Department of Computer Science, University of Science and Technology Bannu, Bannu 28100, Pakistan.

出版信息

Sensors (Basel). 2022 Dec 22;23(1):99. doi: 10.3390/s23010099.

DOI:10.3390/s23010099
PMID:36616697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9824832/
Abstract

Since several Internet of Things (IoT) applications have been widely deployed on unstable wireless networks, such as the Delay Tolerant Network (DTN), data communication efficiency in DTN remains a challenge for IoT applications. Vehicular Delay Tolerant Network (VDTN) has become one of DTN's potential applications, in which the network experiences connectivity interruption due to the lack of an end-to-end relay route. VDTNs focus on node cooperation to achieve this goal. As a result, it is essential to ensure that almost all network nodes adopt the protocol to preserve network performance. This is a challenging task since nodes may diverge from the basic protocol to optimize their effectiveness. This article presents an Efficient Monitoring System (EMS) to detect and respond to just selfish nodes to minimize their entire network and data communication efficacy. The scheme is based on a network-wide cooperative sharing of node reputation. It is also necessary to increase overall network efficiency by tracking selfish nodes. The NS-2 simulator is used to run this experimental setup. Simulation results indicate that the proposed scheme performs better in terms of probability of package delivery, package delivery delay, energy consumption, and amount of packet drops. For 80% selfish nodes in the network, the packet delivery of EMS is 37% and 31% better than SOS and IPS. Similarly, the average delivery delay of EMS is 22% and 18% lower than SOS and IPS when 80% selfish nodes are incorporated in the network.

摘要

由于许多物联网 (IoT) 应用已经广泛部署在不稳定的无线网络上,例如延迟容忍网络 (DTN),因此 DTN 中的数据通信效率仍然是物联网应用的一个挑战。车联网延迟容忍网络 (VDTN) 已成为 DTN 的潜在应用之一,由于缺乏端到端的中继路由,网络会出现连接中断。VDTN 专注于节点协作来实现这一目标。因此,确保几乎所有网络节点都采用协议来保持网络性能是至关重要的。由于节点可能会偏离基本协议以优化其有效性,因此这是一项具有挑战性的任务。本文提出了一种高效监测系统 (EMS),用于检测和响应自私节点,以最大限度地减少它们对整个网络和数据通信效率的影响。该方案基于节点声誉的全网协作共享。通过跟踪自私节点,还需要提高整体网络效率。使用 NS-2 模拟器来运行这个实验设置。仿真结果表明,在所提出的方案中,在数据包投递概率、数据包投递延迟、能量消耗和丢包数量方面表现更好。对于网络中 80%的自私节点,EMS 的数据包投递率比 SOS 和 IPS 分别高出 37%和 31%。同样,当网络中包含 80%的自私节点时,EMS 的平均投递延迟比 SOS 和 IPS 分别低 22%和 18%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/909881f60cc9/sensors-23-00099-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/03eb96de4453/sensors-23-00099-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/897addb7377e/sensors-23-00099-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/91d6f373bc7d/sensors-23-00099-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/8ee76ff25b6c/sensors-23-00099-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/90ca236ad50a/sensors-23-00099-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/909881f60cc9/sensors-23-00099-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/03eb96de4453/sensors-23-00099-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/897addb7377e/sensors-23-00099-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/91d6f373bc7d/sensors-23-00099-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/8ee76ff25b6c/sensors-23-00099-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/90ca236ad50a/sensors-23-00099-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a92/9824832/909881f60cc9/sensors-23-00099-g006.jpg

相似文献

1
EMS: Efficient Monitoring System to Detect Non-Cooperative Nodes in IoT-Based Vehicular Delay Tolerant Networks (VDTNs).EMS:基于物联网的车联网中延迟容忍网络(VDTNs)中检测非合作节点的有效监测系统。
Sensors (Basel). 2022 Dec 22;23(1):99. doi: 10.3390/s23010099.
2
Selfishness in Vehicular Delay-Tolerant Networks: A Review.车联网中的自私行为:综述。
Sensors (Basel). 2020 May 25;20(10):3000. doi: 10.3390/s20103000.
3
An Optimized Probabilistic Delay Tolerant Network (DTN) Routing Protocol Based on Scheduling Mechanism for Internet of Things (IoT).基于调度机制的物联网优化概率容迟网络(DTN)路由协议。
Sensors (Basel). 2019 Jan 10;19(2):243. doi: 10.3390/s19020243.
4
ESEERP: Enhanced Smart Energy Efficient Routing Protocol for Internet of Things in Wireless Sensor Nodes.ESEERP:用于无线传感器节点中物联网的增强型智能节能路由协议。
Sensors (Basel). 2022 Aug 16;22(16):6109. doi: 10.3390/s22166109.
5
THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack.THC-RPL:一种基于 RPL 的物联网网络中的轻量级信任启用路由,用于防范 Sybil 攻击。
PLoS One. 2022 Jul 28;17(7):e0271277. doi: 10.1371/journal.pone.0271277. eCollection 2022.
6
An improved multipath video data communication in a vehicular delay-tolerant network.车载容迟网络中改进的多径视频数据通信。
PLoS One. 2022 Sep 16;17(9):e0273751. doi: 10.1371/journal.pone.0273751. eCollection 2022.
7
Monitoring and enhancing the co-operation of IoT network rhrough scheduling function based punishment reward strategy.通过基于奖惩策略的调度功能来监控和增强物联网网络的协作。
PLoS One. 2024 Sep 19;19(9):e0309123. doi: 10.1371/journal.pone.0309123. eCollection 2024.
8
Energy harvesting based routing protocol for underwater sensor networks.基于能量收集的水下传感器网络路由协议。
PLoS One. 2019 Jul 17;14(7):e0219459. doi: 10.1371/journal.pone.0219459. eCollection 2019.
9
PINE: Post-Quantum Based Incentive Technique for Non-Cooperating Nodes in Internet of Everything.万物互联中不合作节点的基于后量子的激励技术。
Sensors (Basel). 2022 Sep 13;22(18):6928. doi: 10.3390/s22186928.
10
Cross-Layer MAC/Routing Protocol for Reliability Improvement of the Internet of Things.用于提高物联网可靠性的跨层 MAC/路由协议。
Sensors (Basel). 2022 Dec 2;22(23):9429. doi: 10.3390/s22239429.

引用本文的文献

1
CAPPS: Congestion-aware payment and punishment scheme to stimulate selfish nodes in IoT-based VDTNs.CAPPS:用于激励基于物联网的车载延迟容忍网络中自私节点的拥塞感知支付与惩罚方案。
PLoS One. 2025 Mar 25;20(3):e0317107. doi: 10.1371/journal.pone.0317107. eCollection 2025.

本文引用的文献

1
SE-CPPA: A Secure and Efficient Conditional Privacy-Preserving Authentication Scheme in Vehicular Ad-Hoc Networks.SE-CPPA:一种车载自组织网络中安全高效的条件隐私保护认证方案。
Sensors (Basel). 2021 Dec 8;21(24):8206. doi: 10.3390/s21248206.
2
Selfishness in Vehicular Delay-Tolerant Networks: A Review.车联网中的自私行为:综述。
Sensors (Basel). 2020 May 25;20(10):3000. doi: 10.3390/s20103000.
3
An Optimized Probabilistic Delay Tolerant Network (DTN) Routing Protocol Based on Scheduling Mechanism for Internet of Things (IoT).
基于调度机制的物联网优化概率容迟网络(DTN)路由协议。
Sensors (Basel). 2019 Jan 10;19(2):243. doi: 10.3390/s19020243.