Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs

Simranpreet Kaur, Shivani Sharma
{"title":"Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs","authors":"Simranpreet Kaur, Shivani Sharma","doi":"10.1109/SITIS.2017.25","DOIUrl":null,"url":null,"abstract":"Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2017.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.
人工蜂群性能评价及基于压缩感知的wsn节能协议
无线通信的快速发展提供了与低成本和低功耗无线传感器网络设备相关的改进。在多跳路由和多对一业务模式的无线传感器网络(WSNs)中,能量利用不平衡无疑是一个固有问题。为了克服这一问题,提出了一种新的基于压缩感知的节能协议。大多数现有技术都忽略了压缩感知和有效路径选择技术的使用。因此,为了消除这类问题,在这项工作中提出了两种新的方法。利用人工蜂群(ABC)优化技术对高效能量路由协议进行改进,并利用航段编码压缩感知技术提高性能。实际的压缩感知是通过数据融合来消除传感器节点中不必要的信息。因此,该技术进一步提高了节能率。
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