{"id":156788,"date":"2009-01-01T00:00:00","date_gmt":"2009-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/energy-efficient-sensor-data-logging-with-amnesic-flash-storage\/"},"modified":"2018-10-16T21:10:17","modified_gmt":"2018-10-17T04:10:17","slug":"energy-efficient-sensor-data-logging-with-amnesic-flash-storage","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/energy-efficient-sensor-data-logging-with-amnesic-flash-storage\/","title":{"rendered":"Energy Efficient Sensor Data Logging with Amnesic Flash Storage"},"content":{"rendered":"<p>We present FlashLogger, an energy-ef\ufb01cient sensor data logging system that uses lazy amnesic compression in a \ufb02ashef\ufb01cient manner. FlashLogger incorporates a suite of compression algorithms suitable for progressively compressing time series scalar, audio, and image data. It uses a novel data structure for ef\ufb01ciently organizing and querying compressed data on \ufb02ash memory. All our methods are designed for the limited memory and processing capabilities typical of low power sensor nodes, and are prototyped on Tmote Sky platform running TinyOS. Evaluation of FlashLogger with several real world data sets shows orders of magnitude energy savings for both logging data and retrieving data within a time range.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present FlashLogger, an energy-ef\ufb01cient sensor data logging system that uses lazy amnesic compression in a \ufb02ashef\ufb01cient manner. FlashLogger incorporates a suite of compression algorithms suitable for progressively compressing time series scalar, audio, and image data. It uses a novel data structure for ef\ufb01ciently organizing and querying compressed data on \ufb02ash memory. All our methods [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"sumann"}],"msr_publishername":"Association for Computing Machinery, Inc.","msr_publisher_other":"","msr_booktitle":"IPSN'09: Information Processing in Sensor Networks","msr_chapter":"","msr_edition":"IPSN'09: Information Processing in Sensor Networks","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library --http:\/\/www.acm.org\/dl\/.","msr_conference_name":"IPSN'09: Information Processing in Sensor 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