Abstract—Opportunistic wireless channel access by nonlicensed users has emerged as a promising solution for addressing the bandwidth scarcity challenge. Auctions represent a natu...
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
In previous work, it has been shown how to solve atomic broadcast by reduction to consensus on messages. While this solution is theoretically correct, it has its limitations in pr...
In this paper we examine the dissemination of availability reports about resources in mobile peer-to-peer networks, where moving objects communicate with each other via short-range...
The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the foll...