In my project, I assumed to deploy multiple number of sensor nodes (10 to 200 nodes) in a georaphically remote areas. The nodes are powered by limited battery capacity. To reduce the battery usage, I want to compress the sensors real time data by using some efficient method such as Compressive Sensing (CS).
The problem is, CS might cause a high complexity on the processing part. Is there any works that really implemented this method on real embedded open-source devices such as arduino?
What are the risks of using CS in real implementation?
Thank you in advance!
If you have data streaming such as time waveform signal then I recommend DCT which is simple and efficient, see one of my publications:
Article Data compression in wireless sensors network using MDCT and ...
If you have big amount of static data such as data of temperature monitoring, then it is possible to use Run Length Encoding and distributed coding:
Article A Data Compression Algorithm for Wireless Sensor Networks Ba...
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