Lightweight Publish-Subscribe Application Protocol

This project involves the design and implementation of a lightweight publish-subscribe application protocol using TinyOS. The protocol is inspired by MQTT and has been tested through simulations on a star-shaped network topology. The network comprises 8 client nodes connected to a PAN coordinator, which acts as the central broker (similar to an MQTT broker).

Key Features

• Publish-Subscribe Communication: Implements a lightweight protocol for efficient data exchange between nodes and the broker.
• Star-Shaped Network Topology: Designed and tested on a topology where all client nodes communicate through a central PAN coordinator.
• Simulation Testing: Validated through simulations using Tossim and Cooja.
• Integration with IoT Platforms: Data from the network is visualized using Node-RED and ThingSpeak.

How It Works

1. Client Nodes: Each node can publish data to the PAN coordinator or subscribe to specific topics to receive data.
2. PAN Coordinator: Acts as a broker, managing topic subscriptions and distributing messages to subscribed nodes.
3. Star Topology: Ensures efficient communication, with the PAN coordinator serving as the hub for all messages.
4. Simulation Environment:
   • Tossim: Used for simulating TinyOS-based networks.
   • Cooja: Employed for running detailed network simulations.
5. IoT Data Visualization:
   • Node-RED: Provides a dashboard for real-time data monitoring.
   • ThingSpeak: Offers cloud-based data storage and visualization.

Technologies Used

• TinyOS: Operating system for the implementation of the protocol.
• Tossim: Simulation tool for TinyOS applications.
• Cooja: Network simulator for validating the protocol.
• JavaScript: Used for scripting and enhancing IoT visualizations.
• Node-RED: For creating IoT dashboards and workflows.
• ThingSpeak: For cloud-based data visualization and analysis.

Applications

• IoT Networks: Ideal for lightweight IoT applications requiring efficient message distribution.
• Sensor Networks: Suitable for monitoring and controlling sensor networks in constrained environments.
• Data Aggregation: Serves as a lightweight alternative to MQTT for simple data aggregation systems.

Future Enhancements

• Implement security features like encryption for message transmission.
• Extend support for dynamic node addition and removal in the network.
• Test scalability with larger network topologies.
• Optimize performance for energy-constrained devices.

Contact

Feel free to reach out if you have questions or suggestions about this project.