Qatar University

Qatar Foundation for Education, Science and Community Development

Iberdrola Qstp LLC

Omar Ellabban

Ahmed Massoud

Ridha Hamila

Adel Gastli

Devrim Unal

Abdulrahman Alassi

Ula Hijawi

IoT frameworks require flexible and scalable communication and security schemes that can be deployed on devices of low computational capabilities and memory (e.g., resource-constrained devices). A system is provided including a mesh network of resource-constrained devices creating a self-organizing and collaborative communication topology between the devices, and an attribute-based encryption security scheme integrated with the mesh network that enables the resource-constrained devices to communicate securely in unsecured channels by defining an access policy that can only be satisfied by the authorized resource-constrained devices. In order to integrate the attribute-based encryption scheme with the mesh network of resource-constrained devices, a serializer and deserializer are provided that prepare all communications to go through the attribute-based encryption scheme by converting all data and metadata into a suitable format for transmission over the network.

Mesh network for resource-constrained devices

A method for managing a microgrid network under a blackout condition. The method may include partitioning the microgrid network into a plurality of clusters. The method may also include determining a virtual inertia value for each of the plurality of clusters. The method may further include classifying the plurality of clusters based on corresponding virtual inertia values. In addition, the method may include performing a black-start operation by employing a Tower of Hanoi concept to restore power to the microgrid network. According to certain embodiments, performance of the black-start operation may take into account the virtual inertial values.

Virtual inertia estimation for black-start using Tower of Hanoi (ToH) for emerging electricity distribution networks

Growing community of inventors

Doha, Qatar

Omar Ellabban