An algorithm for prediction of link lifetime in MANET based on unscented Kalman filter

Authors:
Edward Y. Hua;Zygmunt J. Haas
Affiliations:
Wireless Networks Laboratory, School of Electrical and Computer Engineering, Cornell University, Ithaca, NY;Wireless Networks Laboratory, School of Electrical and Computer Engineering, Cornell University, Ithaca, NY
Venue:
IEEE Communications Letters
Year:
2009

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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.