水下无线传感器网络可靠路由的量子启发源分布式机会路由协议

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-11-19 DOI:10.1002/cpe.8330
T. R. Chenthil, G. Balachandran, S. Ranjith, E. Sakthivel
{"title":"水下无线传感器网络可靠路由的量子启发源分布式机会路由协议","authors":"T. R. Chenthil,&nbsp;G. Balachandran,&nbsp;S. Ranjith,&nbsp;E. Sakthivel","doi":"10.1002/cpe.8330","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Underwater Wireless Sensor Networks (UWSNs) play a pivotal role in various applications, ranging from environmental monitoring to disaster prevention, necessitating robust and efficient communication protocols tailored to the challenging underwater environment. This paper introduces the Quantum-Inspired Void-Based Source Distributed Opportunistic Routing Protocol (QIVSORP) to address the inherent limitations of classical routing protocols in UWSNs. Motivated by the unique challenges posed by underwater conditions, QIVSORP leverages principles from quantum mechanics to enhance routing efficiency. The protocol employs a source-distributed approach, utilizing quantum entanglement, superposition, and opportunistic routing strategies to enable adaptive and reliable data transmission in underwater scenarios. QIVSORP incorporates void-based forwarding, adaptive decision-making, and multipath routing to dynamically adjust routing decisions based on real-time network conditions. The protocol's source-informed decisions and opportunistic forwarding contribute to the adaptability and reliability of communication in dynamic underwater environments. QIVSORP achieves outstanding performance metrics: maintaining a Packet Delivery Ratio (PDR) of 98.9% with 50 nodes and 80% with 400 nodes, reducing end-to-end delays to 12 ms at 50 nodes, 15 ms at 100 nodes, and 52 ms at 600 nodes, and demonstrating energy efficiency ranging from 0.2 to 200 J per delivered packet across varying node densities. These results highlight the QIVSORP's capability to optimize communication in dynamic underwater environments effectively.</p>\n </div>","PeriodicalId":55214,"journal":{"name":"Concurrency and Computation-Practice & Experience","volume":"37 2","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Quantum-Inspired Source-Distributed Opportunistic Routing Protocol for Reliable Routing in Underwater Wireless Sensor Networks\",\"authors\":\"T. R. Chenthil,&nbsp;G. Balachandran,&nbsp;S. Ranjith,&nbsp;E. Sakthivel\",\"doi\":\"10.1002/cpe.8330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Underwater Wireless Sensor Networks (UWSNs) play a pivotal role in various applications, ranging from environmental monitoring to disaster prevention, necessitating robust and efficient communication protocols tailored to the challenging underwater environment. This paper introduces the Quantum-Inspired Void-Based Source Distributed Opportunistic Routing Protocol (QIVSORP) to address the inherent limitations of classical routing protocols in UWSNs. Motivated by the unique challenges posed by underwater conditions, QIVSORP leverages principles from quantum mechanics to enhance routing efficiency. The protocol employs a source-distributed approach, utilizing quantum entanglement, superposition, and opportunistic routing strategies to enable adaptive and reliable data transmission in underwater scenarios. QIVSORP incorporates void-based forwarding, adaptive decision-making, and multipath routing to dynamically adjust routing decisions based on real-time network conditions. The protocol's source-informed decisions and opportunistic forwarding contribute to the adaptability and reliability of communication in dynamic underwater environments. QIVSORP achieves outstanding performance metrics: maintaining a Packet Delivery Ratio (PDR) of 98.9% with 50 nodes and 80% with 400 nodes, reducing end-to-end delays to 12 ms at 50 nodes, 15 ms at 100 nodes, and 52 ms at 600 nodes, and demonstrating energy efficiency ranging from 0.2 to 200 J per delivered packet across varying node densities. These results highlight the QIVSORP's capability to optimize communication in dynamic underwater environments effectively.</p>\\n </div>\",\"PeriodicalId\":55214,\"journal\":{\"name\":\"Concurrency and Computation-Practice & Experience\",\"volume\":\"37 2\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Concurrency and Computation-Practice & Experience\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cpe.8330\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrency and Computation-Practice & Experience","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.8330","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

水下无线传感器网络(UWSNs)在各种应用中发挥着关键作用,从环境监测到灾害预防,需要针对具有挑战性的水下环境量身定制强大高效的通信协议。为了解决经典路由协议在uwsn中固有的局限性,本文引入了量子启发的基于空洞的源分布式机会路由协议(QIVSORP)。由于水下条件带来的独特挑战,QIVSORP利用量子力学原理来提高路由效率。该协议采用源分布式方法,利用量子纠缠、叠加和机会路由策略,在水下场景中实现自适应和可靠的数据传输。QIVSORP结合了基于空的转发、自适应决策和多径路由,根据实时网络情况动态调整路由决策。该协议的源知情决策和机会转发有助于动态水下环境下通信的适应性和可靠性。QIVSORP实现了出色的性能指标:在50个节点和400个节点的情况下,保持98.9%的数据包传递率(PDR),将端到端延迟减少到50个节点时的12毫秒,100个节点时的15毫秒,600个节点时的52毫秒,并展示了在不同节点密度下每个传输数据包的能量效率从0.2到200 J不等。这些结果突出了QIVSORP在动态水下环境中有效优化通信的能力。
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
A Quantum-Inspired Source-Distributed Opportunistic Routing Protocol for Reliable Routing in Underwater Wireless Sensor Networks

Underwater Wireless Sensor Networks (UWSNs) play a pivotal role in various applications, ranging from environmental monitoring to disaster prevention, necessitating robust and efficient communication protocols tailored to the challenging underwater environment. This paper introduces the Quantum-Inspired Void-Based Source Distributed Opportunistic Routing Protocol (QIVSORP) to address the inherent limitations of classical routing protocols in UWSNs. Motivated by the unique challenges posed by underwater conditions, QIVSORP leverages principles from quantum mechanics to enhance routing efficiency. The protocol employs a source-distributed approach, utilizing quantum entanglement, superposition, and opportunistic routing strategies to enable adaptive and reliable data transmission in underwater scenarios. QIVSORP incorporates void-based forwarding, adaptive decision-making, and multipath routing to dynamically adjust routing decisions based on real-time network conditions. The protocol's source-informed decisions and opportunistic forwarding contribute to the adaptability and reliability of communication in dynamic underwater environments. QIVSORP achieves outstanding performance metrics: maintaining a Packet Delivery Ratio (PDR) of 98.9% with 50 nodes and 80% with 400 nodes, reducing end-to-end delays to 12 ms at 50 nodes, 15 ms at 100 nodes, and 52 ms at 600 nodes, and demonstrating energy efficiency ranging from 0.2 to 200 J per delivered packet across varying node densities. These results highlight the QIVSORP's capability to optimize communication in dynamic underwater environments effectively.

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
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
期刊最新文献
Issue Information Syntax and Semantics Aware Graph Attention Network with Local Context Focus for Aspect-Based Sentiment Analysis MA-AXGB: A Secure and Efficient Attention-Enabled Auto-Encoder-Based XGBoost Ensemble Model for UTI Prediction in IoT-Fog Healthcare Network StaQ: Unified Forbidden Sequence Removal and Lossless Compression for Reliable Data Preservation Heterogeneous Deep-Ensemble Framework for Sentiment Analysis of Movie Reviews Based on Stacking and Voting
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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