車輛異構(gòu)網(wǎng)絡中預測垂直切換算法
doi: 10.11999/JEIT140845
基金項目:
國家自然科學基金(61271259, 61301123, 61471076)；重慶市教委科學技術(shù)研究項目(KJ130536)和重慶市計算機網(wǎng)絡與通信技術(shù)重點實驗室基金(CY-CNCL-2010-02)資助課題
Prediction Vertical Handoff Algorithm in Vehicle Heterogeneous Network
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摘要: 在車輛異構(gòu)網(wǎng)絡中，針對垂直切換決策時刻之后網(wǎng)絡狀態(tài)的動態(tài)變化，提高切換性能問題，提出一種基于馬爾可夫過程的預測垂直切換(M-VHO)算法。算法考慮了切換決策后網(wǎng)絡狀態(tài)的動態(tài)變化對車輛終端服務質(zhì)量(QoS)的影響。其基本思路是：在需要垂直切換時，利用馬爾可夫過程的轉(zhuǎn)移概率預測未來網(wǎng)絡狀態(tài)的變化；另外，采用模糊邏輯方法確定評價屬性參數(shù)權(quán)重；最后，比較切換決策、切換執(zhí)行和切換之后時刻的總收益來優(yōu)化選擇最佳切換網(wǎng)絡。仿真結(jié)果證明，該算法在確保較高負載均衡的情況下，可有效改進車輛終端的平均阻塞率及丟包率，降低乒乓效應，確保了車輛終端的QoS。
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關(guān)鍵詞:
- 無線網(wǎng)絡 /
- 車輛異構(gòu)網(wǎng)絡 /
- 垂直切換 /
- 馬爾可夫過程 /
- 模糊邏輯
Abstract: A prediction Vertical HandOff (M-VHO) algorithm is proposed by using a Markov process in vehicle heterogeneous network, to improve handoff performance when network status dynamic transformation after the handoff decision. It takes into account influence of network status dynamic transformation on vehicle terminals Quality of Service (QoS) after the handoff decision. Its basic idea is in that a future wireless networks status transformation is predicted by transition probability of Markov process if vertical handoff is required; otherwise, the weight of evaluating attribute parameters be determined by fuzzy logic method; finally, the total incomes of each wireless network are compare, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff execution, and the optimal network is selected. The simulation results show that when the high load balanced situation is ensured the algorithm effectively improves the average blocking rate and packet loss rate of vehicle terminal, reduces the ping-pong effect, and insure the QoS of vehicle terminal.-
Key words:
- Wireless network /
- Vehicle heterogeneous network /
- Vertical handoff /
- Markov process /
- Fuzzy logic
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