Malicious node detection in wireless sensor network using modified sandpiper optimization algorithm

IF 2.1 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-07-10 DOI:10.1007/s11276-024-03806-1
B. Vijaya Nirmala, K. Selvaraj
{"title":"Malicious node detection in wireless sensor network using modified sandpiper optimization algorithm","authors":"B. Vijaya Nirmala, K. Selvaraj","doi":"10.1007/s11276-024-03806-1","DOIUrl":null,"url":null,"abstract":"<p>The most crucial thing about the Wireless Sensor Network (WSN) application is the validation of dangerous as well as remote sensing fields, which are expensive to perform by human insights. Further, these features may lead to the self-managed networking model, in which it faces numerous confronts in the network lifetime, fault tolerance, and energy consumption depending upon the non-renewable energy resources. The major advantages of the WSNs are regarded as the monitoring process as well as the nodes used in this network model are positioned commonly in harsh environments. Network management and its efficiency are considered as the most significant factor in network operation. Then, the faults in the WSN have been categorized in terms of persistence, behavior, and underlying causes according to the observation time. Due to its underlying causes in the WSN, the faults are categorized as incorrect computation fault, timing, omission, crash, and fail and stop. Consequently, due to the persistence, the faults are then categorized as a transient fault, intermittent, and permanent, and due to the behaviors, the fault is categorized as a soft and hard fault. As the recent conventional fault detection models failed to provide significant applications in WSN, this work suggests a new way of performing fault tolerance in WSN. In this research, a newly derived technique is implemented by using two functions like energy level checker and a routing manager for fault tolerance to detect malicious nodes in WSN. Here, the Energy level checker checks the residual energy for each communication. If the energy dissipation for a particular communication is less or higher than the threshold it does not send the packet, instead, it forwards the warning messages of the transmitted node that is further sent to the energy level checker. Next, the routing manager sends the path verification packets to the path, if acknowledgment is received, then, the packet is transmitted, and also Certificate Authority is issued to the trusted node based upon the amount of data packets transmitted and the amount of data packets that are successfully obtained. Finally, the prevention of fault nodes is done by selecting the trusted node using a new optimization algorithm known as the Modified Sandpiper Optimization Algorithm derived from the Sandpiper Optimization Algorithm. Another contribution of this WSN network for routing is the Cluster Head selection, which is carried out by solving the multi-objective function regarding constraints like trust, residual energy, distance, and delay. Moreover, the simulations have shown comparatively more success over others.</p>","PeriodicalId":23750,"journal":{"name":"Wireless Networks","volume":"3 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wireless Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11276-024-03806-1","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The most crucial thing about the Wireless Sensor Network (WSN) application is the validation of dangerous as well as remote sensing fields, which are expensive to perform by human insights. Further, these features may lead to the self-managed networking model, in which it faces numerous confronts in the network lifetime, fault tolerance, and energy consumption depending upon the non-renewable energy resources. The major advantages of the WSNs are regarded as the monitoring process as well as the nodes used in this network model are positioned commonly in harsh environments. Network management and its efficiency are considered as the most significant factor in network operation. Then, the faults in the WSN have been categorized in terms of persistence, behavior, and underlying causes according to the observation time. Due to its underlying causes in the WSN, the faults are categorized as incorrect computation fault, timing, omission, crash, and fail and stop. Consequently, due to the persistence, the faults are then categorized as a transient fault, intermittent, and permanent, and due to the behaviors, the fault is categorized as a soft and hard fault. As the recent conventional fault detection models failed to provide significant applications in WSN, this work suggests a new way of performing fault tolerance in WSN. In this research, a newly derived technique is implemented by using two functions like energy level checker and a routing manager for fault tolerance to detect malicious nodes in WSN. Here, the Energy level checker checks the residual energy for each communication. If the energy dissipation for a particular communication is less or higher than the threshold it does not send the packet, instead, it forwards the warning messages of the transmitted node that is further sent to the energy level checker. Next, the routing manager sends the path verification packets to the path, if acknowledgment is received, then, the packet is transmitted, and also Certificate Authority is issued to the trusted node based upon the amount of data packets transmitted and the amount of data packets that are successfully obtained. Finally, the prevention of fault nodes is done by selecting the trusted node using a new optimization algorithm known as the Modified Sandpiper Optimization Algorithm derived from the Sandpiper Optimization Algorithm. Another contribution of this WSN network for routing is the Cluster Head selection, which is carried out by solving the multi-objective function regarding constraints like trust, residual energy, distance, and delay. Moreover, the simulations have shown comparatively more success over others.

Abstract Image

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
利用改进的鹬鸟优化算法检测无线传感器网络中的恶意节点
无线传感器网络(WSN)应用的最关键之处在于对危险领域和遥感领域的验证,而这些领域的验证需要耗费大量人力物力。此外,这些特点可能会导致自我管理的网络模式,在这种模式下,网络寿命、容错性和能源消耗(取决于不可再生的能源资源)都面临着诸多挑战。WSN 的主要优势被认为是监测过程,以及该网络模型中使用的节点通常位于恶劣环境中。网络管理及其效率被认为是网络运行中最重要的因素。然后,根据观察时间,从持续性、行为和根本原因等方面对 WSN 中的故障进行分类。根据 WSN 的根本原因,故障可分为计算错误故障、定时故障、遗漏故障、崩溃故障以及故障和停止故障。随后,根据故障的持续性,故障被分为瞬时故障、间歇故障和永久故障;根据故障的行为,故障被分为软故障和硬故障。由于最近的传统故障检测模型未能在 WSN 中提供重要应用,本研究提出了一种在 WSN 中执行容错的新方法。在这项研究中,通过使用能级检查器和路由管理器这两种功能来实现新衍生的容错技术,以检测 WSN 中的恶意节点。在这里,能级检查器检查每次通信的剩余能量。如果特定通信的能量消耗低于或高于阈值,它就不会发送数据包,而是转发所传送节点的警告信息,并进一步发送给能级检查器。接下来,路由管理器向路径发送路径验证数据包,如果收到确认,则传输数据包,并根据传输的数据包数量和成功获得的数据包数量向可信节点颁发证书授权。最后,通过使用一种从 Sandpiper 优化算法衍生出来的新优化算法(称为 "修正 Sandpiper 优化算法")来选择可信节点,从而防止出现故障节点。该 WSN 网络在路由选择方面的另一个贡献是簇头选择,它是通过解决有关信任、剩余能量、距离和延迟等约束条件的多目标函数来实现的。此外,模拟结果表明,该方案比其他方案更成功。
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 去求助
来源期刊
Wireless Networks
Wireless Networks 工程技术-电信学
CiteScore
7.70
自引率
3.30%
发文量
314
审稿时长
5.5 months
期刊介绍: The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.
期刊最新文献
An EEG signal-based music treatment system for autistic children using edge computing devices A DV-Hop localization algorithm corrected based on multi-strategy sparrow algorithm in sea-surface wireless sensor networks Multi-Layer Collaborative Federated Learning architecture for 6G Open RAN Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection Exploiting data transmission for route discoveries in mobile ad hoc networks
×
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