NDLI: Lossless compression of cloud-cover forecasts for low-overhead distribution in solar-harvesting sensor networks

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Content Provider	ACM Digital Library
Author	Nguyen, Phu Anh Tuan Renner, Christian
Abstract	Combining local harvest patterns and global weather forecasts, e.g., cloud-cover forecasts, makes solar harvest predictions and online duty cycle adaptation more reliable. For this purpose, an energy and bandwidth efficient network-wide distribution of those forecasts is required. To meet this end, we propose compression methods for cloud-cover forecasts, so that they can be piggy-backed on regular network packets. We evaluate compression performance based on data collected from an online weather service for more than 14 months. We find that (i) cloud-cover forecasts can be compressed by up to 76%, (ii) fit into an average of 5 B for a one-day and 21 B for a seven-day forecast horizon, so that (iii) network-wide distribution leveraging, e.g., software acknowledgments used by prominent low-power data collection algorithms is achievable.
Starting Page	43
Ending Page	48
Page Count	6
File Format	PDF
ISBN	9781450331890
DOI	10.1145/2675683.2675686
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud cover Compression Harvest prediction Solar-powered sensor networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Lossless compression of cloud-cover forecasts for low-overhead distribution in solar-harvesting sensor networks