Starbeamrainbowlabs

About

Hello!

I am a computer science student who is in their Masters year at the University of Hull. I started out teaching myself about various web technologies, and then I managed to get a place at University, where I am now. I've done a year in industry too, which I found to be particuarly helpful in learning about the workplace and the world.

I currently know C# + Monogame / XNA (+ WPF), HTML5, CSS3, Javascript (ES6 + Node.js), PHP, C / C++ (mainly for Arduino), and a bit of Python. Oh yeah, and I can use XSLT too.

I love to experiment and learn about new things on a regular basis. You can find some of the things that I've done in the labs and code sections of this website, or on GitHub. My current projects are Pepperminty Wiki, an entire wiki engine in a single file (the source code is spread across multiple files - don't worry!), and Nibriboard (a multi-user real-time infinite whiteboard), although the latter is in its very early stages.

I can also be found in a number of other different places around the web. I've compiled a list of the places that I can remember below.

I can be contacted at the email address webmaster at starbeamrainbowlabs dot com. Suggestions, bug reports and constructive criticism are always welcome.

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Latest Post

Summer Project Part 1: LoRaWAN Signal Mapping!

What? A new series (hopefully)! My final project for my Masters in Science course at University is taking place this summer, and on the suggestion of Rob Miles I'll be blogging about it along the way.

In this first post, I'd like to talk a little bit about the project I've picked and my initial thoughts.

As you have probably guessed from the title of this post, the project I've picked is on mapping LoRaWAN signal coverage. I'm specifically going to look at that of The Things Network, a public LoRaWAN network. I've actually posted about LoRa before, so I'd recommend you go back and read that post first before continuing with this one.

The plan I've drawn up so far is to build an Internet of Things device with an Arduino and an RFM95 (a LoRa modem chip) to collect a bunch of data, which I'll then push through some sort of AI to fill in the gaps.

The University have been kind enough to fund some of the parts I'll need, so I've managed to obtain some of them already. This mainly includes:

  • Some of the power management circuitry
  • An Arduino Uno
  • A bunch of wires
  • A breadboard
  • A 9V battery holder (though I suspect I'll need a different kind of battery that can be recharged)
  • Some switches

(Above: The parts that I've collected already. I've still got a bunch of parts to go though.)

I've ordered the more specialised parts through my University, and they should be arriving soon:

I'll also need a project box to keep it all in if I can't gain access to the University's 3D printers, but I'll tackle that later.

I'll store on a local microSD card for each message a random id and the location a message was sent. I'll transmit the location and the unique id via LoRaWAN, and the server will store it - along with the received signal strength from the different gateways that received the message.

Once a run is complete, I'll process the data and pair the local readings from the microSD card up with the ones the database has stored, so that we have readings from the 'block spots' where there isn't currently any coverage.

By using a unique random id instead of a timestamp, I can help preserve the privacy oft he person carrying the device. Of course, I can't actually ask anyone to carry the device around until I've received ethical approval from the University to do so. I've already submitted the form, and I'm waiting to hear back on that.

While I'm waiting, I'm starting to set up the backend application server. I've decided to write it in Node.js using SQLite to store the data, so that if I want to do multiple separate runs to compare coverage before and after a gateway is installed, I can do so easily by just moving on to a new SQLite database file.

In the next post, I might talk a little bit about how I'm planning on generating the random ids. I'd like to do some research into the built-in random() function and how ti compares to other unpredictable sources of randomness, such as comparing clocks.


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I find useful tools on the internet occasionally. I will list them here.

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