并利用逼近理想解排序(technigue for order preference by similarity to ideal solution
TOPSIS)算法进行判决
选取最优网络进行切换.仿真结果表明
在不同车辆终端数量的场景下
本文算法能够降低切换失败率
减少切换时延
提高系统的网络吞吐量.
Abstract
In order to deal with the problem of heterogeneous distribution of vehicle terminals in heterogeneous IoV(Internet of Vehicles)
which leads to the high switching failure rate and the decrease of network throughput
a vertical switching algorithm based on fuzzy analytic hierarchy process(FAHP) is proposed in this paper. Firstly
through predicting the switching time for the candidate network load state
the vertical switching algorithm to select adaptive network. And then use FAHP to determine the weight of each attribute. Finally
make use of technique for order preference by similarity to ideal solution (TOPSIS)algorithm to decide the optimal target network. The simulation results show that the proposed algorithm can reduce the switching failure rate
reduce the switching delay and improve the network throughput of the system under different vehicle terminal scenarios.
关键词
Keywords
references
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