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...
Local network coding is growing in prominence as a technique to facilitate greater capacity utilization in multi-hop wireless networks. A specific objective of such local network ...
Shravan K. Rayanchu, Sayandeep Sen, Jianming Wu, S...
Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy...
Erwan Le Merrer, Vincent Gramoli, Anne-Marie Kerma...
— Previous results show that a node’s throughput scales poorly as the network size increases when every node has traffic. However, in many cases, only a fraction of nodes in l...
We offer the first large-scale analysis of Web traffic based on network flow data. Using data collected on the Internet2 network, we constructed a weighted bipartite clientserver ...
Mark Meiss, Filippo Menczer, Alessandro Vespignani