This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Recent advances in miniaturization and low-cost, lowpower design have led to active research in large-scale networks of small, wireless, low-power sensors and actuators. Time sync...
Peer-to-Peer (p2p), as an emerging technology, is exerting huge influence on various application scenarios. Meanwhile, agents, assisting applications in traditional paradigm with...
—Content-centric networking has been proposed as a new networking paradigm that is centered around the distribution of content. A key idea of content-centric networks is to addre...
We develop algorithms for finding minimum energy disjoint paths in an all-wireless network, for both the node and linkdisjoint cases. Our major results include a novel polynomial...