Debunk an LPWAN / IoT comparison

The LPWAN comparison artwork

Recently, on Linkedin, I reacted on a publication that is looking like this one. I’m used to react on LPWAN publication when they are comparing technologies as this one. Comparing apples with eggs and usually meaningless. This one was particularly interesting me because, most of the content is non-sense and scientifically subject to discussion. I’ll detail it in this blog post.

It’s really interesting the way it has been made and also the way the author publish it, react on it on Linkedin and what objectif is serves : capture people in a world where the truth is adapted to make you think only one of the technologies serves all the possible use-cases and all the others are the worst existing. The purpose is to sell you some books and services. This is really looking like the way flat hearth believers, radio waves danger believers and other groups do to find adepts and to sell goods to them. It’s really funny to see and discuss.

As the Author of the original document above considers his slide as “art” you can’t use, copy, cut (even if he published it online on social network) I have made my own one and simplify it to not entering in the expecting promotion this guy is looking for and to troll on the social networks. The curve you see are the exact copy of the original one. These data seems to come from a university work and are needed to be debunked. I just not mention the highlighted technologies other than Sigfox and LoRaWan because they are the one the slide tries to discredit and we will see how that’s wrong.

I do not identify the original author of that “artistic work” because I consider the scientific aspect of that “work” so bad that it discredit too much this person, its student and the associated university, that I don’t want to discredit these people directly. As I did on Linked-in but the author has immediately identify itself to start its promotion.

As I did not had access to the full study, sources of these graph, I can’t tell if the initial work quality that as been done is bad or if the context of the experience is explained. May be the original document explains different conclusions, so I’ll try to not judge too much the original work that has been done. I’ll judge what the author of the slide gave to us, as a single slide with pseudo-scientific information and a fake conclusion. Apparently, if you are ready to pay for the book / register… , you can get more details, thing I do not want to do to feed the troll.

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What is the IIoT transformation ?

The digital transformation of companies officially started in 2012, the year of birth of this term which reflects more the awareness by the company of its delay in its technological adaptation than a real awareness of its difficulties in modernizing its processes. .

Apart from this digital transformation, in society started 20 years earlier when Internet technologies were born and giants were already being built, Google, Amazon, Paypal… There is no need to detail the competitive advantages that the native use of these technologies in the construction of the processes of these current giants have brought, the financial results are before our eyes.

This is what it is all about, increased productive performance, accelerated development, domination of the markets despite a past so recent that the leaders of the large companies in our historic economy have, only rarely, managed to adapt. The most far-sighted will have succeeded in adapting as suppliers, integrating a digital relationship with these giants into their process. Industries have become customers of these essential technology providers, at exorbitant prices and on a recurring basis, so that today any product contains its share of cost for the digital giants.

It is not a question here of making a trial of these companies which have only the merit of having been visionaries, precursors and better than all to invent our digital world, taking considerable risks at their start. On the other hand, it is a question of learning lessons and looking to the future and the opportunities that are available to us.

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SenseCAP M2, the Helium data-only hotspot, (close to be) ready-to-go

Sensecap M2 – data only

Until now, all the Helium data-only hotspot I have been tested where DiY devices. They are not really complicated to manage but they are not ready-to-go, so you need to manually on-role them with a wallet and some complex CLI operation for the non-experts. This SenseCAP M2 is the first one I’m testing, ready-to-go or close to be ready-to-go (that does not means it is the only one existing).

As it is a Data-Only hotspot, it means it does not participate to the Proof of Coverage, as a consequence, there is no related rewards for this device. This device only earn the DC (Data Credit) for transferring the communications, so $1 for 100.000 packets. Before getting question, this have no return on invest in a crypto point of view. This has been made to help supporting professional applications on the Helium network.

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Astrocast, another route to the space IoT

In some of my previous post, I did talk on Kineis IoT satellite solution. The competition is that area is large and one of the other player is Astrocast. I really thanks them for getting me in the program to explore this technology (and I apology to have been a bit long to start using it).

Astrocast is a Swiss company launching nanosatellites to currently provide Europe, Asia, Africa coverage for IoT. It uses L-Band (1-2 GHz) radio. The transmission period will be 15 minutes once the constellation will be fully deployed. The current constellation is 10 satellites for a target of 100 satellites by 2025.

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What positions for 5G and other wireless technologies in the industrial world?

The industry is changing, digitalizing, let’s call it the industry of the future or industry 4.0, it is increasingly integrating data into decision-making. If data has been driving the industry for a long time, we are now talking about another scale, that of massive data, on which it is possible to make faster, more efficient, more relevant decisions with impactful effects.

The quality and performance of the decision is directly related to the diversity and quantity of data processed for decision making. The industry already produces large volumes of data from production processes which already allow a strong creation of value using industry 4.0 solutions. The capture of industrial data then develops in its diversity component to pass a new stage, bringing a look upstream and ahead of the production chain.

This data collection is made possible through new communication technologies such as 5G, but not only. After having experienced the media campaigns on the impact of 5G in the industry, and elsewhere, at the beginning of 2021, I will try to present where to position this technology by its singularities.

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Is Sigfox finished?

Since yesterday, the microcosm of the IoT has been in turmoil, Sigfox, the Toulouse company, pioneer of the Internet of Objects, the one which had carried out remarkable fundraising for France: 100M then 150M is placed in receivership. But is it really a surprise? Is this the end of this technology?

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COTX-X3 helium miner review

After reviewing different Helium miner like RAK, Sensecap, Kerlink, Nebra… now comes the Cotx-X3 miner. This miner has a long story and a bad reputation, due to something not really clean the maker did with the first units.

This is not related to the hardware quality and I’ve been happy to buy some of them for reviewing it. This miner is a full miner, based on a standard design using a Raspberry Pi 4. It has the particularity of having a front screen and an audio jack ! Don’t laughs, the reason is simple, this device has a different usage before becoming an helium miner.

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Deploying Helium-ETL instance with API

Helium blockchain ETL is basically a copy of the Helium Blockchain into a database. That way you can query the helium blockchain history to build apps like monitoring, tax management…

The Helium blockchain API project is connected to the Helium ETL to get an easy access to these data.

I’m currently building a tool to monitor and alarm a fleet of hotspots (stay tuned) and it currently uses the Helium API (api.helium.io). But helium APIs are a bit overloaded and not made to support high rate querying from each of the application any member of the community is developing. So I’ve been decided to make my own instance of ETL and API for my own purpose. This is the experience I’ll describe in this blog post:

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