AtomBeam: Big Things in Small Packages

By Carl Ford July 25, 2019

If hype was to be believed, unlimited capacity is just around the corner. It’s easy to get caught up in the fervor when you hear that 5G will deliver Gigabits and unlimited processing is at the edge and in the cloud. The reality is there are costs, both physically and fiscally.

Fortunately, AtomBeam has a solution that can bring your solutions under control. 

AtomBeam’s AI learns from the patterns in your data and uses the patterns to compact that information using a table that takes the source and create a corresponding code. AtomBeam then on the devices themselves uses AI to recognize the repetitive data transmission source (called Sourceblocks) and transmits them as code (called Codewords). The codewords are then recognized at the far end and translated back into the sourceblocks. 

Using this method of compaction, the amount of data transmitted is typically 70 percent less than what would normally be transmitted.

The obvious question is: so what?  After all, we have 5G coming.

While we are waiting, there are some advantages that immediate and some that will be valuable even with 5G.

One is security. While AtomBeam does not encrypt, the data transmitted is unusable for man in the middle attacks. Unlike encryption, it also has the benefit of 100 percent accuracy as the end points must be aware of the code words in order to interpret the data. It also has the impact of providing a trust system where a bogus end point cannot benefit from the transmission.

Battery Life: The processing at the end points is all software and is incredibly light given the patterns have already been learned. This means that while many systems using edge computing put strain on the battery, AtomBeam has minimal impact on the processing at the edge. This also compares favorably to encryption, which drains the battery.

Transmission: There are two aspects of transmission that are worth discussing. The first is that the compaction increases the range for the transmission to be captured. This means that systems that are remote can be networked with less gear. The second is that the cost of the transmission can be less. This particularly interesting when you consider the low transmission data. NB-IOT costs than less than LTE-M.

The security aspect comes into play with LoRaWAN solutions as well, since transmissions are often picked up by other networks.

Finally, I want to point out that 2G/3G were low end strategies that are sunsetting. According to James Brehm & Associates, more than two thirds of today’s IoT must be migrated, before we reach 50 percent penetration of 5G.

Taking advantage of AtomBeam’s software makes a lot of sense, as migration plans are needed today.

Edited by Ken Briodagh
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