DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Newsletter
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • When One Docker Swarm Replica Became Unreachable Over an Overlay Network: A Production Case With Traefik
  • Documentation Debt Is the Real Risk in Long-Lived Network Infrastructure
  • Beyond Clicking Buttons: Build a Browser Agent That Verifies Its Results With Playwright MCP
  • Distributing Massive AI Models With Network-Layer Multicast

Trending

  • Building a Real Pipeline With senro: Monorepos, Caching, and Triggers
  • Part 3: End-to-End Tracing and Observability Across Goose, agentgateway, and Quarkus
  • How You Clear Your HTML5 Canvas Matters
  • ScyllaDB in Enterprise Java: High-Performance NoSQL With Eclipse JNoSQL

Draft This article hasn't been published, so readers can't see it.

In moderation This article is waiting for review, so readers can't see it yet.

Deleted This article has been deleted, so readers can't see it.

  1. DZone
  2. Data Engineering
  3. IoT
  4. Towards a WebRTC Mesh Network With RTCDataChannel [Livecoding]

Towards a WebRTC Mesh Network With RTCDataChannel [Livecoding]

In this livecoding session, we pick up where we left off last time, working on our WebRTC network that allows for peer-to-peer communication.

By 
Swizec Teller
·
May. 31, 18 · Tutorial
Post on X (opens in a new tab) Share on LinkedIn (opens in a new tab)
7.7K Views

Join the DZone community Save articles, join the discussion, and download Refcards and Trend Reports with a free account.

Join for free Already a member? Log in

It didn't work. We don't have a mesh network yet. But we're so close that I can almost smell it.

The ultimate goal is to build a JavaScript library that can connect arbitrary browsers through a mesh network using a sort of blockchain as the algorithm to ensure distributed data correctness. Why? Intellectual curiosity.

Previously, we figured out how to connect two browsers running on different computers with a video connection. A signaling server helps with the initial handshake, then the browsers communicate directly using WebRTC. No more server.

WebRTC also supports so-called data channels using RTCDataChannel.

It works like this:

  1. Use signaling server to establish a peer connection.
  2. Add a data channel to said connection.
  3. Send from each side.

Data can be anything. We're using "Hello World" strings, for now, and we'll be using serialized JSON objects later. Rumors say you could send whole files.

This all sounds very simple. Even when you look at the code that's required.

We add a RTCDataChannel to our peer connection and attach a bunch of event handlers. Errors for complaining, messages for printing, and we try to send a message when the channel opens.

The cool part is that we can attach this channel before a connection is fully established.

See, both clients finish with saying Data channel open.

But no data is sent or received, and there's no error.

I suspect this is because while the data channel is open, the peer connection itself is not established. That pesky WebRTC lifecycle error about doing something or another in the wrong step.

This part used to work. Therefore, I must have broken something when deleting a bunch of code that seemed unnecessary.

We also generally spent a lot of time mucking around making this lifecycle more robust because it was hella flaky before.

Getting close!

Network

Published at DZone with permission of Swizec Teller. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • When One Docker Swarm Replica Became Unreachable Over an Overlay Network: A Production Case With Traefik
  • Documentation Debt Is the Real Risk in Long-Lived Network Infrastructure
  • Beyond Clicking Buttons: Build a Browser Agent That Verifies Its Results With Playwright MCP
  • Distributing Massive AI Models With Network-Layer Multicast

Partner Resources

×

Comments

Loading comments

The comments didn't load

Please try again in a moment.

Likes

Loading

The next likes didn't load. Please try again.

The likes didn't load

Please try again in a moment.

See who liked this

Log in or join DZone for free to see who liked this article.

Log in Join for free
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook