基于dijikstra算法的增强K-means无线传感器网络能耗分析

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI:10.1109/ISCO.2016.7726978

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

2016 10th International Conference on Intelligent Systems and Control (ISCO)

自引率

0.00%

发文量