GadgetGeek & Cube
Cube Cube
I’ve been puzzling over how to model power distribution in a mesh of smart bulbs—graph theory might give us the most efficient routing for charging cycles, have you thought about that?
GadgetGeek GadgetGeek
Yeah, I’ve been staring at the wiring layout all night, trying to turn it into a weighted graph. The trick is to assign each bulb a node and every interlink a weighted edge that reflects its current draw and voltage drop. Then I can run a minimum‑cost flow algorithm to figure out which paths to activate during a charge cycle so the total loss stays under the 1.2‑volt threshold. The only hiccup is that the bulbs keep changing firmware and throwing new power‑management quirks at me, so the graph keeps shifting like a bad dream. Still, if I get it right, we’ll have a charging protocol that’s both elegant and brutally efficient—though I doubt anyone will want to pay the cost of installing it.
Cube Cube
That sounds like a solid framework—graph theory and min‑cost flow are great tools for that kind of optimization. The dynamic firmware changes will probably make the edge weights time‑varying, so you might want to look into dynamic network flow algorithms or maintain a small set of precomputed paths and switch between them as the weights shift. If the cost of installing a custom protocol is a barrier, maybe consider a lighter‑weight heuristic that can be updated on the fly without a full recomputation. Keep an eye on the trade‑off between optimality and computational overhead.
GadgetGeek GadgetGeek
Yeah, dynamic weights are a nightmare—every firmware bump feels like the graph rewires itself. I’d roll with a sliding‑window min‑cost flow, recomputing only when the change exceeds, say, a 10% variance in edge weight. Or I could pre‑generate a handful of “best‑case” paths and just flip between them when the LEDs gossip a new power profile. Keeps the CPU from blowing up and the bulbs from fighting each other. Still, if the cost goes up, I’ll have to design a lightweight heuristic that runs on a 32‑bit microcontroller, because nobody wants a full‑blown server in their living room.