Robust Vertical Handoff Algorithm Based on Decision Tree in Vehicle Heterogeneous Network

MA Bin; WANG Dong; XIE Xianzhong

doi:10.11999/JEIT161182

Volume 39 Issue 7

Jul. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(7): 1719-1726

MA Bin, WANG Dong, XIE Xianzhong. Robust Vertical Handoff Algorithm Based on Decision Tree in Vehicle Heterogeneous Network[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1719-1726. doi: 10.11999/JEIT161182

Citation:

MA Bin, WANG Dong, XIE Xianzhong. Robust Vertical Handoff Algorithm Based on Decision Tree in Vehicle Heterogeneous Network[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1719-1726. doi: 10.11999/JEIT161182

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Robust Vertical Handoff Algorithm Based on Decision Tree in Vehicle Heterogeneous Network

doi: 10.11999/JEIT161182

Funds:

The National Natural Science Foundation of China (61601070, 61271259, 61301123, 61471076), The Foundation and Advanced Research Program of Chongqing (cstc2016jcyjA0455, cstc2015jcyjA40047), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2014-10, A2015-16)

Received Date: 2016-11-03
Rev Recd Date: 2017-02-26
Publish Date: 2017-07-19

Abstract

Abstract

In the vehicle heterogeneous network with noise and interference, the current vertical handoff algorithms based on decision tree have the problem of low handoff accuracy. In this paper, the decision processes of current algorithms are analyzed in detail and the formulation of false decision probability is given. Firstly, the Kalman filtering algorithm is employed to obtain the more accurate network attribute values according to the predicted values, the current values, and their noise deviations. Secondly, a probability threshold interval method is proposed to do a twice detection to the situation of the attribute value which is near the threshold. Simulation results show that the proposed algorithm can improve the accuracy of handoff decision and the total network throughput, and can also reduce the ping-pong effect and the failed handoff. Meanwhile, it still keeps the same-ordered time complexity with the traditional algorithms.
- Vehicle heterogeneous network,
- Vertical handoff,
- Decision Tree (DT),
- Kalman filtering

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References(14)

References

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