Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
—We present a novel approach for minimizing the energy consumption of medium access control (MAC) protocols developed for duty-cycled wireless sensor networks (WSN) for the unslo...
Sinem Coleri Ergen, Carlo Fischione, Dimitri Maran...
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
Research domains such as active networks, ad-hoc networks, ubiquitous computing, pervasive computing, grid computing, and sensor networks, clearly show that computer networks will...
Sam Michiels, Lieven Desmet, Wouter Joosen, Pierre...
We present an approach to building multicast services at the network layer using unicast forwarding and two additional building blocks: (i) ephemeral state probes, i.e. extremely l...