Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Decision analysis and expert systems
AI Magazine
Real-world applications of Bayesian networks
Communications of the ACM
Effective Prediction for Video Traffic in Joint WiMAX/Satellite Networks
Wireless Personal Communications: An International Journal
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Bandwidth on Demand requesting and assignment has became a vital requirement for the ever growing satellite networks with an expensive bandwidth. To reduce the signaling overhead, the bandwidth requests should be sent with long enough periods. But the problem arises when the input traffic rate of a terminal increases dramatically between two successive requests causing an increase in queuing delay. To take this into account, we used a Bayesian Neural Network for modeling the traffic. Then we can use this accurate model to predict the traffic entering terminals. Thus we can forecast the traffic bursts and send more efficient bandwidth requests.