基于dijikstra算法的增强K-means无线传感器网络能耗分析

G. Sandhiya, R. Jothikumar
{"title":"基于dijikstra算法的增强K-means无线传感器网络能耗分析","authors":"G. Sandhiya, R. Jothikumar","doi":"10.1109/ISCO.2016.7726978","DOIUrl":null,"url":null,"abstract":"In Wireless Sensor Networks (WSN) energy consumption takes place during transmission. To reduce energy consumption and to increase network lifetime an enhanced K mean with dijikstra algorithm was proposed. This method eliminates the redundancy using spatial similarity method and find the shortest path between nodes. Simulation results show that our technique has largely reduced the data redundancy in the whole network and also extended the network lifetime.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Enhanced K-means with dijikstra algorithm for energy consumption in wireless sensor network\",\"authors\":\"G. Sandhiya, R. Jothikumar\",\"doi\":\"10.1109/ISCO.2016.7726978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Wireless Sensor Networks (WSN) energy consumption takes place during transmission. To reduce energy consumption and to increase network lifetime an enhanced K mean with dijikstra algorithm was proposed. This method eliminates the redundancy using spatial similarity method and find the shortest path between nodes. Simulation results show that our technique has largely reduced the data redundancy in the whole network and also extended the network lifetime.\",\"PeriodicalId\":320699,\"journal\":{\"name\":\"2016 10th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2016.7726978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2016.7726978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在无线传感器网络(WSN)中,能量消耗发生在传输过程中。为了降低网络能耗,提高网络寿命,提出了一种基于dijikstra的增强K均值算法。该方法利用空间相似度法消除冗余,寻找节点间的最短路径。仿真结果表明,该方法大大降低了整个网络的数据冗余,延长了网络的生存期。
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
Enhanced K-means with dijikstra algorithm for energy consumption in wireless sensor network
In Wireless Sensor Networks (WSN) energy consumption takes place during transmission. To reduce energy consumption and to increase network lifetime an enhanced K mean with dijikstra algorithm was proposed. This method eliminates the redundancy using spatial similarity method and find the shortest path between nodes. Simulation results show that our technique has largely reduced the data redundancy in the whole network and also extended the network lifetime.
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
自引率
0.00%
发文量
0
期刊最新文献
Concatenated convolution-polar codes over Rayleigh channels degraded as erasure channels Rectangular-shaped core photonic crystal fiber with zero dispersion and high birefringence Solar PV fed grid integration with energy storage system for electric traction application A secure color image steganography using integer wavelet transform Design of multimodal biometrics system based on feature level fusion
×
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