Secure Energy-Efficient Load Balancing and Routing in Wireless Sensor Networks With Mediative Micro-ANN Fuzzy Logic

Laxmaiah Kocharla, B. Veeramallu
{"title":"Secure Energy-Efficient Load Balancing and Routing in Wireless Sensor Networks With Mediative Micro-ANN Fuzzy Logic","authors":"Laxmaiah Kocharla, B. Veeramallu","doi":"10.4018/ijfsa.306277","DOIUrl":null,"url":null,"abstract":"The security and life time of network are most import factors in wireless sensor networks (WSN). In this research work Mediative Micro ANN Fuzzy logic(MMAFL) has been proposed, along with load-balance routing algorithm. The designed method can increase WSN’s additional feature like securing packet from message capture and tampering attacks. The aim of the proposed routing algorithm is reduce the overall energy consumption and ensure fair use of node energy, so that lifetime of the network has been automatically increased. Experimentation of the proposed Mediative Micro ANN Fuzzy logic is implemented in MATLAB 2018b software and compared with the existing techniques to prove the effectiveness of the approach. The MMAFL model is most useful for medical, Mobile, and industrial applications for data transferring and network security. The performance measures like accuracy 97.45%, F measure 97.34%, overhead 11.10%, delay 8.96ms, throughput 90%, lifetime 27%, and packet-delivery ration 86.11% had been attained, which are most prominent compared to earlier models.","PeriodicalId":233724,"journal":{"name":"Int. J. Fuzzy Syst. Appl.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Fuzzy Syst. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijfsa.306277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The security and life time of network are most import factors in wireless sensor networks (WSN). In this research work Mediative Micro ANN Fuzzy logic(MMAFL) has been proposed, along with load-balance routing algorithm. The designed method can increase WSN’s additional feature like securing packet from message capture and tampering attacks. The aim of the proposed routing algorithm is reduce the overall energy consumption and ensure fair use of node energy, so that lifetime of the network has been automatically increased. Experimentation of the proposed Mediative Micro ANN Fuzzy logic is implemented in MATLAB 2018b software and compared with the existing techniques to prove the effectiveness of the approach. The MMAFL model is most useful for medical, Mobile, and industrial applications for data transferring and network security. The performance measures like accuracy 97.45%, F measure 97.34%, overhead 11.10%, delay 8.96ms, throughput 90%, lifetime 27%, and packet-delivery ration 86.11% had been attained, which are most prominent compared to earlier models.
基于中介微神经网络模糊逻辑的无线传感器网络安全节能负载均衡与路由
网络的安全性和网络寿命是无线传感器网络中最重要的因素。在本研究中,提出了中介微神经网络模糊逻辑(MMAFL),以及负载均衡路由算法。所设计的方法可以增加WSN的附加功能,如保护数据包免受消息捕获和篡改攻击。所提出的路由算法的目标是降低总能耗,保证节点能量的合理利用,从而自动增加网络的生存期。在MATLAB 2018b软件中对所提出的中介微神经网络模糊逻辑进行了实验,并与现有技术进行了比较,证明了该方法的有效性。MMAFL模型对于数据传输和网络安全的医疗、移动和工业应用最有用。达到了准确率97.45%、F度量97.34%、开销11.10%、延迟8.96ms、吞吐量90%、寿命27%、分组传递率86.11%等性能指标,与早期模型相比,这些指标最为突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信