{"title":"Data Center Heat Monitoring Using Wireless Sensor Networks","authors":"Bradford W. Bazemore, Wenjia Li","doi":"10.1145/2638404.2675734","DOIUrl":null,"url":null,"abstract":"This paper demonstrates a method for implementing wireless sensor networks to monitor temperatures within data centers. Previous methods for monitoring these temperatures are costly and difficult to modify once implemented. Multiple TelosB nodes were placed in strategic locations based on knowledge of basic heat flow in data centers, to collect temperature readings. It was possible to gather data matching the predictions of their placement, and detecting alarming trends in the data center's environment. The result is a portable, cost-effective, and energy efficient method for gathering precise temperature readings from data centers.","PeriodicalId":91384,"journal":{"name":"Proceedings of the 2014 ACM Southeast Regional Conference","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM Southeast Regional Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2638404.2675734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper demonstrates a method for implementing wireless sensor networks to monitor temperatures within data centers. Previous methods for monitoring these temperatures are costly and difficult to modify once implemented. Multiple TelosB nodes were placed in strategic locations based on knowledge of basic heat flow in data centers, to collect temperature readings. It was possible to gather data matching the predictions of their placement, and detecting alarming trends in the data center's environment. The result is a portable, cost-effective, and energy efficient method for gathering precise temperature readings from data centers.