Abstract. We propose measures for compressed data structures, in which space usage is measured in a data-aware manner. In particular, we consider the fundamental dictionary problem...
Delivering sensed data to the sink reliably in sensor networks calls for a scalable, energy-efficient, and error-resilient routing solution. In this paper, a reliable energy-effic...
Min Chen, Taekyoung Kwon, Shiwen Mao, Yong Yuan, V...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Wireless sensor networks (WSNs) are subject to significant resource constraints. Particularly, routing protocols for lowrate WSNs suffer from maintaining routing metrics and sta...
Performance monitoring of large scale parallel computers creates a dilemma: we need to collect detailed information to find performance bottlenecks, yet collecting all this data ...