Networking & IoT

The Networks & IoT group joins a group of researchers from the computer-communication networks, mathematics and computer science in order to improve communication systems, networks, and protocols in general. Cutting across the boundaries of these scientific domains, we develop algorithmic foundations and computational methods using optimization techniques or adaptive approaches to enhance network issues like resource utilization, fault-tolerance, fairness, quality of service, energy saving, among others, with applications ranging from Internet access to emerging technologies such as wireless sensors and mesh networks. The Networks & Systems group is responsible for the research line "Bio-inspired Networks and Systems".

The main areas of research include:

• Provision of efficient communication over (mainly, at this stage) hybrid access network architectures.
• Provision of QoS aware and predictive congestion control schemes in communication networks.
• Integration of wireless sensor networks, mesh networks, and the Internet.
• The use of (multiobjective) optimization techniques for effective resource utilization.
• Application of artificial intelligent techniques for multiservice networks.