In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
A number of protocols have been proposed to date to defend against wormhole attacks in wireless networks by adopting synchronized clocks, positioning devices, or directional antenn...
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...