Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
Broadcasting allows efficient information sharing and fusion in wireless networks. In this paper, the energy efficiency limits in wireless broadcasting, defined as the minimal achi...
—The increasingly complex roles for which Wireless Sensor Networks (WSNs) are being employed have driven the desire for energy-efficient reliable target tracking. In this paper, ...
Collaborative communication produces significant (N2 where N is number of nodes used for collaboration) power gain and overcomes the effect of fading. With imperfect frequency sync...