Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
The concept of “SmallConnection (abbr. SC)” is creating easy to operate tangible media for communication over networks. Focusing on the scenario where two intimate people live...
In this paper, we consider energy-efficient gathering of correlated data in sensor networks. We focus on single-input coding strategies in order to aggregate correlated data. For ...
We investigate network management information for light-path assessment to dynamically set up end-to-end lightpaths across administrative domains. Our focus is on invetigating what...
Acyclic partitioning on combinational boolean networks has wide range of applications, from multiple FPGA chip partitioning to parallel circuit simulation. In this paper, we prese...