In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Abstract— Nodes in multi-hop wireless networks, and specifically in ad-hoc and mesh networks, are being increasingly equipped with multiple wireless network interfaces (radios) o...
In this paper we study the performance properties of combined multiple heterogeneous networks. Consider two nodes node1 and node2 with multiple heterogeneous physical networks con...
Nader Mohamed, Jameela Al-Jaroodi, Hong Jiang, Dav...
Multicast trees are used in a variety of applications, such as publish/subscribe systems or content distribution networks. Existing algorithms for ad-hoc networks typically produc...
Publish/subscribe systems provide useful platforms for delivering data (events) from publishers to subscribers in a decoupled fashion. Developing efficient publish/subscribe scheme...
Silvia Bianchi, Pascal Felber, Maria Gradinariu Po...