ELISE is built upon multidisciplinary research efforts of Software-Defined Networking (SDN), Wireless Sensor Networks (WSNs), and Machine Learning (ML).
The ELISE project comprises two main componenets: SDWSN Network OS and the SDWSN controller.
The SDWSN controller features the main functionalities described below:
- Multiple controller types including a container controller for the Cooja network simulator (Only docker is supported) and a controller for FIT IoT LAB platforms.
- A Reinforcement learning module to manage the environment, reward processing, and etc.
- A mongo database that stored network information.
- TSCH module for designing and building schedules.
- Routing module to manage routing paths of the SDWSN.
- Serial interface that handles the communication with the sink node of the SDWSN.
- Packet processing module that contains a packet dissector to pack and unpack packets from the SDWSN.
- A network reconfiguration module that handles the configuration functions of the network.
The SDWSN protocol, also called "Contiki-NG-SDWSN", is the protocol that runs on the network infrastructure or constrained devices and on the edge controller. More info can be found at https://github.com/fdojurado/contiki-ng
This repository has all components added as submodules, and it also has scripts to automate experiments in the FIT IoT LAB platform.
- GitHub repository: https://github.com/fdojurado/SDWSN-controller
- GitHub repository: https://github.com/fdojurado/contiki-ng
- Documentation: http://sdwsn-controller.readthedocs.io/
Engage with the community:
- Discussions on GitHub: https://github.com/fdojurado/SDWSN-controller/discussions
- Twitter: https://twitter.com/fdojurado