Telecom Network Routing Visualizer System Design

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Algorithms & Visualization

Interactive telecom routing simulator for visualizing shortest-path behavior, congestion effects, and network quality metrics.

Dijkstra + A* | Interactive Graph Simulation

Live DemoSource Repository

Why This Project Matters

Makes core CS routing algorithms legible to reviewers while demonstrating algorithmic correctness under dynamic network conditions.

Tech + Architecture Summary

  • Tech: React, TypeScript, Vite, Algorithms, Visualization
  • Architecture: React visualization layer -> weighted graph model -> Dijkstra/A* engine -> congestion simulator -> route quality metrics.

Impact Metrics

  • Supports deterministic Dijkstra and heuristic A* route comparisons on identical graph states.
  • Recomputes route quality metrics live as congestion weights change.
  • Surfaces latency, hops, cost, and drop-rate metrics for quick decision analysis.

Core Problem

Represent dynamic network congestion and route optimization decisions in a way that is both mathematically correct and visually understandable.

High-Level Architecture

mermaid
graph TD
  UI[React UI]-->Graph[Network Graph Model]
  Graph-->Algo[Dijkstra / A* Engine]
  Algo-->Sim[Congestion Weight Simulation]
  Sim-->Metrics[Latency / Cost / Hops / Drop Rate]
  Metrics-->UI

Production-Grade Capabilities

  • Deterministic route computation using Dijkstra and A* engines.
  • Real-time congestion-influenced simulation for network stress behavior modeling.
  • Interactive metrics surface for route quality diagnostics and decision support.

Engineering Decisions

  • Frequent congestion recomputation improves realism but increases render and computation overhead.
  • A* pathfinding can reduce computation for target-focused routing, but requires heuristic tuning.
  • Dense topologies improve fidelity, but can reduce visual clarity without progressive filtering.

Behavioral + Impact Signals

  • Translated algorithm-heavy concepts into accessible technical visuals.
  • Documented tradeoffs between runtime efficiency and simulation fidelity.
  • Maintained deterministic outputs for repeatable demonstrations.

Quality Guarantees

  • Route results are always derived from current weighted graph state.
  • Visualization reflects algorithm output and congestion state consistently.
  • Metrics panel stays synchronized with selected path and simulation step.

Recent Upgrades

  • Initial release of telecom network routing visualizer with core graph/routing primitives.
  • Added dynamic congestion weighting and real-time route heat-style feedback.
  • Expanded metrics surface for clearer network decision tradeoffs.

Outcome Highlights

  • Implemented graph-based routing visualization with Dijkstra and A*.
  • Added dynamic edge-weight simulation to model congestion-driven route changes.
  • Exposed route quality metrics for latency, hops, cost, and drop-rate interpretation.