Embedding distributed learning algorithms in Wireless Ad-Hoc Control Networks

A. Desmet, F. Naghdy, M. Ros
{"title":"Embedding distributed learning algorithms in Wireless Ad-Hoc Control Networks","authors":"A. Desmet, F. Naghdy, M. Ros","doi":"10.1109/ICIAS.2007.4658403","DOIUrl":null,"url":null,"abstract":"With the advances in soft computing techniques and agent technologies, the concept of home ambient intelligence is becoming more and more realistic. Living in a building that adapts itself to the users and assists them in reducing their energy consumption is now within reach. The main technical barrier comes from hardware: servers and industrial control networks do not fit in a house. With the availability of dedicated wireless solutions and low-cost small computation units, the platform to implement task distribution in a control network is now feasible and cost efficient. This paper explores the possibilities of fitting a distributed learning algorithm for home ambient intelligence in a wireless network of sensors and actuators, driven by very limited microcontrollers. The chosen hardware platform is the WACNet: Wireless Ad-hoc Control Network. The concept of WACNet is introduced and the test-bed developed for its study is explained. The fuzzy learning algorithm is then introduced and its implementation is studied. The results of a test are provided and some conclusions are drawn, mainly focusing on accuracy and the algorithmpsilas response to different rule selection criterions.","PeriodicalId":228083,"journal":{"name":"2007 International Conference on Intelligent and Advanced Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Intelligent and Advanced Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAS.2007.4658403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

With the advances in soft computing techniques and agent technologies, the concept of home ambient intelligence is becoming more and more realistic. Living in a building that adapts itself to the users and assists them in reducing their energy consumption is now within reach. The main technical barrier comes from hardware: servers and industrial control networks do not fit in a house. With the availability of dedicated wireless solutions and low-cost small computation units, the platform to implement task distribution in a control network is now feasible and cost efficient. This paper explores the possibilities of fitting a distributed learning algorithm for home ambient intelligence in a wireless network of sensors and actuators, driven by very limited microcontrollers. The chosen hardware platform is the WACNet: Wireless Ad-hoc Control Network. The concept of WACNet is introduced and the test-bed developed for its study is explained. The fuzzy learning algorithm is then introduced and its implementation is studied. The results of a test are provided and some conclusions are drawn, mainly focusing on accuracy and the algorithmpsilas response to different rule selection criterions.
无线自组织控制网络中嵌入分布式学习算法
随着软计算技术和智能体技术的发展,家庭环境智能的概念越来越现实。生活在一个适应用户并帮助他们减少能源消耗的建筑中现在是触手可及的。主要的技术障碍来自硬件:服务器和工业控制网络不适合一个房子。随着专用无线解决方案和低成本小型计算单元的可用性,在控制网络中实现任务分配的平台现在是可行且经济高效的。本文探讨了在由非常有限的微控制器驱动的传感器和执行器的无线网络中拟合家庭环境智能的分布式学习算法的可能性。所选择的硬件平台是WACNet:无线自组织控制网络。介绍了WACNet的概念,并介绍了为研究WACNet而开发的试验台。然后介绍了模糊学习算法并对其实现进行了研究。给出了一个测试结果,并得出了一些结论,主要集中在准确性和算法对不同规则选择标准的响应上。
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