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

BSD 3-Clause License