无线传感器网络中CH选择和路由的细菌觅食优化算法

P. Lalwani, Sagnik Das
{"title":"无线传感器网络中CH选择和路由的细菌觅食优化算法","authors":"P. Lalwani, Sagnik Das","doi":"10.1109/RAIT.2016.7507882","DOIUrl":null,"url":null,"abstract":"Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.","PeriodicalId":289216,"journal":{"name":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Bacterial Foraging Optimization Algorithm for CH selection and routing in wireless sensor networks\",\"authors\":\"P. Lalwani, Sagnik Das\",\"doi\":\"10.1109/RAIT.2016.7507882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.\",\"PeriodicalId\":289216,\"journal\":{\"name\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT.2016.7507882\",\"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 3rd International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2016.7507882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27

摘要

细菌觅食优化算法(BFOA)是一种被广泛接受的自然启发式全局优化算法。CH选择和路由是提高无线传感器网络(WSN)寿命的技术。在两种疲惫的路由体系结构中,CH由于其额外的功能而更早消亡。因此,在选择CH时要适当小心。目前的研究重点是利用细菌觅食算法解决上述两个问题。设计了基于剩余能量和距离的适应度函数的CH选择算法。同时提出了一种考虑能量和距离的新型适应度路由。在不同的场景下对算法进行了严格的测试,并与传统的EADC、DHCR和Hybrid路由方法进行了比较。实验结果表明,所提算法的性能优于现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bacterial Foraging Optimization Algorithm for CH selection and routing in wireless sensor networks
Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.
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
×
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:481959085
Book学术官方微信