Open AccessA Network Selection Algorithm Based on Vehicle Trajectory Prediction and AHP
Author(s) -
Qi Ding,
Dengyin Zhang,
Zhen Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1518/1/012003
Subject(s) - analytic hierarchy process , trajectory , dwell time , computer science , selection (genetic algorithm) , selection algorithm , markov chain , data mining , mathematical optimization , algorithm , artificial intelligence , machine learning , engineering , operations research , mathematics , medicine , clinical psychology , physics , astronomy
This paper proposes a network selection algorithm based on Vehicle Trajectory Prediction and AHP (VMAP). The Markov chain is used to predict the running trajectory of the vehicle. The predicted trajectory is used to calculate the dwell time of the vehicle in the network. A network in which the dwell time is greater than a preset threshold is selected as a candidate network. Then, using the Analytic Hierarchy Process (AHP) to determine the weights of each attribute of the candidate network and obtain the comprehensive evaluation quality index of each candidate network to select the optimal network. This algorithm can not only minimize the ping-pong effect generated, but also enable the vehicle to access the optimal network stably.