發(fā)布時(shí)間：2019-06-07 16:34

【摘要】：選擇最優(yōu)接入網(wǎng)絡(luò)是確保網(wǎng)絡(luò)資源有效分配和提高網(wǎng)絡(luò)整體性能的有效手段。提出一種基于跨層感知的接入選擇方法 CN_CLA,構(gòu)建跨層感知框架模型以獲取影響接入網(wǎng)性能的主要評(píng)估參數(shù),采用模糊理論對(duì)可接入網(wǎng)絡(luò)的性能進(jìn)行綜合評(píng)測(cè),應(yīng)用量子遺傳算法對(duì)評(píng)判權(quán)值進(jìn)行優(yōu)化,最終實(shí)現(xiàn)接入網(wǎng)絡(luò)的智能選擇。實(shí)驗(yàn)結(jié)果表明,CN_CLA能夠在無(wú)用戶(hù)干涉情況下合理地選擇接入網(wǎng)絡(luò),并在吞吐量、時(shí)延、會(huì)話(huà)完成率、分組丟失率等方面優(yōu)于鏈路容量法、H_RSSI_S及AS_FTM接入選擇算法。
[Abstract]:Choosing the optimal access network is an effective means to ensure the effective allocation of network resources and improve the overall performance of the network. In this paper, an access selection method based on cross-layer perception (CN_CLA,) is proposed to construct a cross-layer sensing framework model to obtain the main evaluation parameters that affect the performance of access networks. Fuzzy theory is used to evaluate the performance of accessible networks. Quantum genetic algorithm (QGA) is used to optimize the evaluation weights, and finally the intelligent selection of access network is realized. The experimental results show that CN_CLA can reasonably select the access network without user interference, and is superior to the link capacity method in throughput, delay, session completion rate, packet loss rate and so on. H_RSSI_S and AS_FTM access selection algorithm.
【作者單位】： 哈爾濱工程大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;哈爾濱理工大學(xué)管理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61370212,61402127,61502118) 教育部博士點(diǎn)基金優(yōu)先發(fā)展領(lǐng)域基金資助項(xiàng)目(20122304130002) 黑龍江省自然科學(xué)重點(diǎn)基金資助項(xiàng)目(ZD201102) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專(zhuān)項(xiàng)基金資助項(xiàng)目(HEUCF100601,HEUCFZ1213) 黑龍江省博士后基金資助項(xiàng)目(LBH-210204) 黑龍江省自然科學(xué)基金資助項(xiàng)目(F2015029)~~
【分類(lèi)號(hào)】：TN915.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 陳前斌;周偉光;柴蓉;唐倫;;基于博弈論的異構(gòu)融合網(wǎng)絡(luò)接入選擇方法研究[J];計(jì)算機(jī)學(xué)報(bào);2010年09期

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本文編號(hào)：2494935