DocumentCode :
3776216
Title :
Prediction of link residual lifetime using Kalman filter in vehicular ad hoc networks
Author :
Siddharth Shelly;A. V. Babu
Author_Institution :
Department of Electronics and Communication Engineering, National Institute of Technology, Calicut, Calicut, India 673 601
fYear :
2015
Firstpage :
268
Lastpage :
273
Abstract :
In this paper, we present an algorithm to predict the residual link lifetime in vehicular ad hoc networks (VANETs) by making use of Kalman filter based prediction technique. Assuming Gauss-Markov mobility model for the vehicles, the algorithm initially finds the relative location coordinates and velocity of the vehicles and using this information, the residual lifetime of the communication links are determined. Simulation results show that the procedure adopted for the prediction achieve good performance in the presence of velocity changes.
Keywords :
"Vehicles","Kalman filters","Covariance matrices","Noise measurement","Time measurement","Estimation","Position measurement"
Publisher :
ieee
Conference_Titel :
Intelligent Computational Systems (RAICS), 2015 IEEE Recent Advances in
Type :
conf
DOI :
10.1109/RAICS.2015.7488426
Filename :
7488426
Link To Document :
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