… parameters than the AR and Bayesian models, confirming our previous simulation analysis.
… inputs model (ARX) in wireless ad hoc networks for establishing trust relation between …

… Bayesian-based location estimation system and a location-based application using existing
wireless … Our system uses signal strength of access points and a Bayesian inference to …

… With recent advances in wireless technologies and mobile devices, Mobile Ad hoc … Using
recent advances in uncertain reasoning, Bayesian inference and Dempster-Shafer theory, we …

… From the above considerations, in this paper we present a Bayesian Inference … inference
and dynamic gaussian bayesian networks for battery optimization in wireless sensor networks. …

… Wireless links, for example, are susceptible to passive … attack and compromise; and ad hoc
networks — by definition — lack a … probabilistic model required for Bayesian inference. As an …

… The nodes can be regarded as wireless mobile hosts with … The recent rise in popularity of
mobile wireless devices and … for ad hoc networks, based on a Bayesian inference structure and …

… We study these interactions in Bayesian games by … updates its beliefs using Bayesian
inference. Then, we refine … to the decentralized wireless environment of the ad-hoc networks. For a …

… In order to evaluate the probability of a hypothesis, the Bayesian … The Bayesian inference
approach is based on the joint … From Bayes+ theorem we can calculate the probability …

… area under the umbrella of ad hoc network security. In traditional wireless networks mobile
devices associate … 1 In Bayesian inference, when we have performed an experiment we use …

… /Wi-Fi wireless networking technology and mobile devices. The … and a Bayesian Network
to infer network state information and … heavy-loaded dynamic ad-hoc network as shown in the …