Fog - rpl:基于雾计算的物联网网络路由协议

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Recent Advances in Electrical & Electronic Engineering Pub Date : 2023-05-10 DOI:10.2174/2352096516666230510125238
Ankit Verma, S. Deswal
{"title":"Fog - rpl:基于雾计算的物联网网络路由协议","authors":"Ankit Verma, S. Deswal","doi":"10.2174/2352096516666230510125238","DOIUrl":null,"url":null,"abstract":"\n\nThe Internet of Things (IoT) is widely used because of the connectivity of devices with the Internet which provides accessibility, quick transmission, and broader coverage. IoT networks provide vast connectivity but finding the best path for sharing information is a big challenge because of limited resources like limited power and limited bandwidth. The routing protocol for low power lossy network (RPL) is standard protocol but it selects a node that has already been selected in a busty network.\n\n\n\nThe fog computing technique is combined with RPL and the new objective function is used to design FOG-RPL which is the optimum routing protocol that reduces the network load using the fog computing principle and selects the right node using the new objective function.\n\n\n\nThe simulation is performed and experimental results show that FOG-RPL gives better results in terms of improvement and in terms of performance parameters.\n\n\n\nThe FOG-RPL protocol uses the fog computing principle with a new objective function and performance analysis shows that as compared to the existing routing protocol, it is more efficient.\n","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"88 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FOG-RPL: Fog Computing based Routing Protocol for IoT Networks\",\"authors\":\"Ankit Verma, S. Deswal\",\"doi\":\"10.2174/2352096516666230510125238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nThe Internet of Things (IoT) is widely used because of the connectivity of devices with the Internet which provides accessibility, quick transmission, and broader coverage. IoT networks provide vast connectivity but finding the best path for sharing information is a big challenge because of limited resources like limited power and limited bandwidth. The routing protocol for low power lossy network (RPL) is standard protocol but it selects a node that has already been selected in a busty network.\\n\\n\\n\\nThe fog computing technique is combined with RPL and the new objective function is used to design FOG-RPL which is the optimum routing protocol that reduces the network load using the fog computing principle and selects the right node using the new objective function.\\n\\n\\n\\nThe simulation is performed and experimental results show that FOG-RPL gives better results in terms of improvement and in terms of performance parameters.\\n\\n\\n\\nThe FOG-RPL protocol uses the fog computing principle with a new objective function and performance analysis shows that as compared to the existing routing protocol, it is more efficient.\\n\",\"PeriodicalId\":43275,\"journal\":{\"name\":\"Recent Advances in Electrical & Electronic Engineering\",\"volume\":\"88 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Advances in Electrical & Electronic Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2352096516666230510125238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Electrical & Electronic Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2352096516666230510125238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

物联网(IoT)被广泛使用,因为设备与互联网连接,提供可访问性,快速传输和更广泛的覆盖范围。物联网网络提供了广泛的连接,但由于有限的资源,如有限的功率和有限的带宽,找到共享信息的最佳路径是一个巨大的挑战。低功耗网络(RPL)的路由协议是标准协议,但它选择的是在繁忙网络中已经被选择的节点。将雾计算技术与RPL相结合,利用新的目标函数设计了fog -RPL协议,该协议是利用雾计算原理减少网络负载,并利用新的目标函数选择正确节点的最优路由协议。仿真和实验结果表明,FOG-RPL在改进和性能参数方面都取得了较好的效果。fog - rpl协议采用了雾计算原理和新的目标函数,性能分析表明,与现有的路由协议相比,fog - rpl协议的效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FOG-RPL: Fog Computing based Routing Protocol for IoT Networks
The Internet of Things (IoT) is widely used because of the connectivity of devices with the Internet which provides accessibility, quick transmission, and broader coverage. IoT networks provide vast connectivity but finding the best path for sharing information is a big challenge because of limited resources like limited power and limited bandwidth. The routing protocol for low power lossy network (RPL) is standard protocol but it selects a node that has already been selected in a busty network. The fog computing technique is combined with RPL and the new objective function is used to design FOG-RPL which is the optimum routing protocol that reduces the network load using the fog computing principle and selects the right node using the new objective function. The simulation is performed and experimental results show that FOG-RPL gives better results in terms of improvement and in terms of performance parameters. The FOG-RPL protocol uses the fog computing principle with a new objective function and performance analysis shows that as compared to the existing routing protocol, it is more efficient.
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
Recent Advances in Electrical & Electronic Engineering
Recent Advances in Electrical & Electronic Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.70
自引率
16.70%
发文量
101
期刊介绍: Recent Advances in Electrical & Electronic Engineering publishes full-length/mini reviews and research articles, guest edited thematic issues on electrical and electronic engineering and applications. The journal also covers research in fast emerging applications of electrical power supply, electrical systems, power transmission, electromagnetism, motor control process and technologies involved and related to electrical and electronic engineering. The journal is essential reading for all researchers in electrical and electronic engineering science.
期刊最新文献
Solar and Wind-based Renewable DGs and DSTATCOM Allotment in Distribution System with Consideration of Various Load Models Using Spotted Hyena Optimizer Algorithm Soft Switching Technique in a Modified SEPIC Converter with MPPT using Cuckoo Search Algorithm An Adaptive Framework for Traffic Congestion Prediction Using Deep Learning Augmented Reality Control Based Energy Management System for Residence Mitigation of the Impact of Incorporating Charging Stations for Electric Vehicles Using Solar-based Renewable DG on the Electrical Distribution System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1