Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
The success of experiences such as Seattle and Houston Wireless has attracted the attention on the so called wireless mesh community networks. These are wireless multihop networks...
Laura Galluccio, Giacomo Morabito, Sergio Palazzo,...
Arpeggio is a peer-to-peer file-sharing network based on the Chord lookup primitive. Queries for data whose metadata matches a certain criterion are performed efficiently by using...
Austin T. Clements, Dan R. K. Ports, David R. Karg...
Abstract—Smart Home, this term comprises various approaches, engaged in living and working now and in the future. The objectives of the various approaches range from enhancing co...
Sebastian Dengler, Abdalkarim Awad, Falko Dressler