IoT Mesh Network Simulation
Simulate self-organizing mesh networks for IoT devices using ACK Club's protocol modeling tools. Test low-power communication and failover scenarios.
Project Introduction
This project demonstrates a self-healing mesh network using ACK Club's simulation infrastructure. Focuses on IEEE 802.15.4-based routing algorithms for IoT environments with energy constraints.
Key Technologies
- • Adaptive routing protocols
- • Low-power consumption models
- • Node failure simulation
Target Scenarios
- • Smart home sensor networks
- • Industrial automation systems
- • Environmental monitoring
Topology Preview
Network simulation visualization
⚙️ Configuration Guide
Simulation Parameters
{ "nodes": 12, "protocol": "RPL", "power_budget": "50mW", "failure_sim": true, "metrics": ["throughput", "latency", "battery_life"] }
- Simulate node failures to test mesh redundancy mechanisms
- Adjust power budgets to simulate energy constraints
Command Line Setup
ackclub init iot-mesh cd iot-mesh ackclub configure --protocol=RPL --nodes=12
Tip: Use the --visualize
flag to launch the network topology viewer
📊 Performance Metrics
Network Resilience
99.78% redundancy in mesh connections during simulated node outages
Average Latency
23.75ms under 12-node configuration
Energy Efficiency
54% of nodes remain operational after 10,000 simulated seconds
💻 Configuration Example
< span class="text-green-600"># Configuration for LoRaWAN mesh network
ackcluster configure {
topology: "mesh",
nodes: 12,
protocol: "RPL",
energy_profile: {
capacity: "50mW",
recharge: "300s"
},
simulation: {
duration: "10000s",
events: [
{ "node_failure": 3 /** random nodes **/ }
]
}
}
This configuration will automatically create a fully self-healing mesh with energy-aware routing decisions. Modify the node failure event count to test different redundancy scenarios.
Test Your Mesh Network
Try modifying protocol settings and node configurations to observe different mesh network behavior patterns.
🧪 Launch Playground