• Characterization and modeling of the underwater acoustic channel

• Protocol design for underwater communications

• Development of simulation modules for underwater communications

• Experimentation of underwater networks

Design of smart city services:

• Machine-to-Machine communications

• Software architectures for IoT solutions

• Energy harvesting

• Energy efficient protocols

• In-node signal processing

• Data analytics techniques for information extraction from IoT data

• Management of complex networks: distributed transport layer (video caching), very dense MIMO, network coding and content sharing

• Applications of game theory to complex networks: network formation based on individual incentives, exchange of information and services, collaboration via social recognition

• Epidemic models: spread of viral content, characterization of security threats in distributed systems, cellular automata

• Brain networks and their structure: distributed signal processing, clustering of neurons

This topic addresses the application of advanced machine-learning techniques and, in particular, of generative unsupervised neural networks to the network optimization (see http://dx.doi.org/10.1109/ACCESS.2015.2471178).