Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...
We propose a network service framework where common network functions such as routing and multicast can be customized on a per-application basis. Network service customization is ...
Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
Abstract. We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. T...
Kevin Coogan, Varun Khare, Stephen G. Kobourov, Ba...
— Many network operators offer some type of tiered service, in which users may select only from a small set of service levels (tiers). In this work, we study the problem of desig...