Title :
An algorithm for prediction of link lifetime in MANET based on unscented kalman filter
Author :
Hua, Edward Y. ; Haas, Zygmunt J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
10/1/2009 12:00:00 AM
Abstract :
We propose an algorithm to predict the link lifetime in MANETs by the unscented Kalman filter (UKF). The algorithm recursively computes the UKF states, modeled as a nonlinear system, using periodically measured distances as inputs. The UKF states are then utilized to compute the estimates of the remaining link lifetime. Evaluation of the proposed algorithm demonstrates robust performance in computing the MANET link lifetime for various mobility models and in the presence of velocity changes.
Keywords :
Kalman filters; ad hoc networks; mobile radio; nonlinear filters; radio links; telecommunication network reliability; MANET; UKF; link lifetime prediction algorithm; mobile ad hoc network; mobility model; nonlinear system; periodic distance measurement; robust performance; unscented Kalman filter; velocity change; Ad hoc networks; Distance measurement; Life estimation; Lifetime estimation; Mobile ad hoc networks; Nonlinear systems; Prediction algorithms; Predictive models; Robustness; State estimation; MANET, link lifetime, residual link lifetime, link lifetime prediction, mobility modeling, unscented Kalman filter.;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.090974
