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基于事件驅(qū)動與數(shù)據(jù)融合的溫室WSN節(jié)能傳輸模型
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科技部中小企業(yè)創(chuàng)新基金資助項目（11C26213204549）,、江蘇省農(nóng)業(yè)科技支撐計劃資助項目（BE2010347）,、江蘇省產(chǎn)學(xué)研聯(lián)合創(chuàng)新資金資助項目（BY2013065-07）和江蘇高校優(yōu)勢學(xué)科建設(shè)工程資助項目


Energy Transmission Model of WSN in Greenhouse Based on Event-driven and Data Fusion
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    摘要:

    針對溫室內(nèi)環(huán)境信息變化緩慢,、冗余度大和時間空間相關(guān)性強的特點,，提出了基于事件驅(qū)動與支持度融合的溫室環(huán)境監(jiān)測無線傳感器網(wǎng)絡(luò)(WSN)的節(jié)能傳輸模型,。利用所建立的數(shù)據(jù)節(jié)能傳輸模型進行了溫室環(huán)境試驗,，結(jié)果表明采用基于事件驅(qū)動的數(shù)據(jù)傳輸模型能夠減少83.8%數(shù)據(jù)傳輸次數(shù),，基于支持度函數(shù)的數(shù)據(jù)融合能夠根據(jù)數(shù)據(jù)之間的關(guān)聯(lián)程度計算出各原始數(shù)據(jù)的加權(quán)值,，融合效果優(yōu)于算術(shù)平均值,。

    Abstract:

    Since environmental information in greenhouse had the characteristics of slow changing, great redundancy, and strong spatial and temporal correlation, a energy transmission model of wireless sensor network (WSN) was proposed based on event-driven and data fusion for the acquisition of environmental information in greenhouse. With the energy transmission model the field test was conducted. The results showed that the data transmission model based on event-driven could reduce the data transmission frequency 83.8%. The data fusion based on data support function could calculate each weighted value of the original data size according to the degree of association among the data, and was better than the arithmetic mean.

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王紀章,彭玉禮,李萍萍.基于事件驅(qū)動與數(shù)據(jù)融合的溫室WSN節(jié)能傳輸模型[J].農(nóng)業(yè)機械學(xué)報,2013,44(12):258-261,257. Wang Jizhang, Peng Yuli, Li Pingping. Energy Transmission Model of WSN in Greenhouse Based on Event-driven and Data Fusion[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(12):258-261,257.

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  • 在線發(fā)布日期: 2013-12-05
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