發(fā)布時間：2018-11-12 10:06

【摘要】：針對網(wǎng)絡數(shù)據(jù)傳輸過程中傳輸速率慢、網(wǎng)絡能耗高等問題,本文基于混合引力搜索算法HGSA提出了一種隊列管理方法.該方法首先給出了網(wǎng)絡能效評價指標,以此衡量網(wǎng)絡的有效信息容量和傳輸速率.同時利用混合引力搜索算法來對隊列管理方法進行優(yōu)化.最后通過數(shù)學仿真,分析了隊列長度、數(shù)據(jù)包大小等對網(wǎng)絡能效的影響,結果證明了該方法具有較好的適應性.
[Abstract]:Aiming at the problems of slow transmission rate and high network energy consumption during data transmission, a queue management method based on hybrid gravitational search algorithm (HGSA) is proposed in this paper. Firstly, the evaluation index of network energy efficiency is given to measure the effective information capacity and transmission rate of the network. At the same time, a hybrid gravitational search algorithm is used to optimize the queue management method. Finally, the effects of queue length and packet size on network energy efficiency are analyzed by mathematical simulation. The results show that the proposed method has good adaptability.
【作者單位】： 重慶工商大學融智學院大數(shù)據(jù)研究所;蘇州大學計算機科學與技術學院;中國科學院計算機科學國家重點實驗室;
【基金】：重慶市教委科學技術研究項目(KJ133103) 江蘇省自然科學基金項目(BK2011152) 中國科學院計算機科學國家重點實驗室開放課題(CSYSKF0908)
【分類號】：TP393.07
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本文編號：2326795