Titlebook: NETWORKING 2011; 10th International I Jordi Domingo-Pascual,Pietro Manzoni,Caterina Scog Conference proceedings 2011 IFIP International Fed

畫布

Markov Modulated Bi-variate Gaussian Processes for Mobility Modeling and Location Predictionposition and be sufficiently generic to map the characteristics of the movement dynamics to general geographic regions. Moreover, it should also be possible to infer the mobility model parameters from empirical data and predict the location of any node based on known positions. Having the ability to

軌道

Mobility Prediction Based Neighborhood Discovery in Mobile Ad Hoc Networksperiodic ‘hello’ messages. Central to a hello protocol is the determination of ‘hello’ message transmission rate. No fixed optimal rate exists in the presence of node mobility. The rate should in fact adapt to it, high for high mobility and low for low mobility. In this paper, we propose a novel mob