Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Multicast is a central challenge for emerging multi-hop wireless architectures such as wireless mesh networks, because of its substantial cost in terms of bandwidth. In this artic...
This paper studies the aggregation of messages in networks that consist of a chain of nodes, and each message is time-constrained such that it needs to be aggregated during a give...
—In many wired and wireless networks, nodes process input traffic to satisfy a network constraint (e.g. capacity constraints) and to increase the utility of data in the output ...
Abstract. High end routers are targeted at providing worst case throughput guarantees over latency. Caches on the other hand are meant to help latency not throughput in a tradition...