本文選題：無線傳感器網(wǎng)絡(luò) + 網(wǎng)絡(luò)通信負(fù)載��； 參考：《吉林大學(xué)學(xué)報(理學(xué)版)》2017年06期

【摘要】：為了改善網(wǎng)絡(luò)通信負(fù)載狀態(tài)識別效果,提出一種基于相關(guān)向量機(jī)的網(wǎng)絡(luò)通信負(fù)載狀態(tài)識別模型.首先提取影響網(wǎng)絡(luò)通信質(zhì)量的參數(shù),分析它們與負(fù)載狀態(tài)間的聯(lián)系;然后將無線傳感器網(wǎng)絡(luò)吞吐率作為負(fù)載狀態(tài)識別的標(biāo)準(zhǔn),采用相關(guān)向量機(jī)構(gòu)建網(wǎng)絡(luò)通信負(fù)載狀態(tài)的分類器,實現(xiàn)網(wǎng)絡(luò)通信負(fù)載狀態(tài)的識別;最后采用具體數(shù)據(jù)對網(wǎng)絡(luò)通信負(fù)載狀態(tài)識別性能進(jìn)行測試.測試結(jié)果表明,相關(guān)向量機(jī)可準(zhǔn)確識別網(wǎng)絡(luò)通信負(fù)載狀態(tài),且網(wǎng)絡(luò)通信負(fù)載狀態(tài)識別正確率高于其他模型.
[Abstract]:In order to improve the recognition effect of network communication load state, a network communication load state recognition model based on correlation vector machine is proposed. Firstly, the parameters affecting the network communication quality are extracted, and the relationship between them and the load state is analyzed. Then, the throughput of the wireless sensor network is regarded as the standard of load state identification, and the classifier of the network communication load state is constructed by using the correlation vector mechanism. Finally, the identification performance of network communication load state is tested with specific data. The test results show that the correlation vector machine can accurately identify the network communication load state, and the correct recognition rate of network communication load state is higher than that of other models.
【作者單位】： 吉林農(nóng)業(yè)大學(xué)信息技術(shù)學(xué)院;
【基金】：吉林省教育廳“十二五”科研項目(批準(zhǔn)號:201452)
【分類號】：TN929.5;TP181;TP212.9
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本文編號：1798155