發(fā)布時(shí)間：2018-03-08 00:04

  本文選題：并發(fā)處理　切入點(diǎn)：數(shù)據(jù)轉(zhuǎn)發(fā)　出處：《北京郵電大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：通信技術(shù)的不斷發(fā)展以及軟件無線電技術(shù)的日益普及致使頻譜成為了一種很稀缺的資源,我們對(duì)這種稀缺的頻譜信息資源的需求越來越多,對(duì)頻譜信息進(jìn)行感知的任務(wù)越來越重�；ヂ�(lián)網(wǎng)技術(shù)和數(shù)據(jù)庫(kù)技術(shù)為頻譜信息的感知提供了一個(gè)很好的平臺(tái),大量分散式分布的傳感器通過網(wǎng)絡(luò)的傳輸將這些數(shù)據(jù)存入特定的數(shù)據(jù)中心,為頻譜信息的感知提供了很好的條件的同時(shí)也帶來了很多技術(shù)方面的考驗(yàn)�！盎跀�(shù)據(jù)并發(fā)傳輸?shù)念l譜感知的研究”的目標(biāo)是在滿足當(dāng)前大量分散式分布的傳感器準(zhǔn)確接收消息的同時(shí),有效解決服務(wù)器由于本身性能而在處理并發(fā)連接時(shí)引發(fā)的延遲和連接丟失問題,并還原數(shù)據(jù),以得到良好的數(shù)據(jù)展示。 本文通過對(duì)現(xiàn)有網(wǎng)絡(luò)相對(duì)成熟的服務(wù)器架構(gòu)模型以及并發(fā)處理技術(shù)的研究,結(jié)合當(dāng)前服務(wù)器結(jié)構(gòu)的特性,設(shè)計(jì)并實(shí)現(xiàn)了一種基于數(shù)據(jù)并發(fā)傳輸?shù)念l譜感知系統(tǒng)。通過功能模塊劃分將系統(tǒng)劃分為用戶注冊(cè)、用戶認(rèn)證、并發(fā)處理、轉(zhuǎn)發(fā)識(shí)別處理、數(shù)據(jù)還原、數(shù)據(jù)存儲(chǔ)、數(shù)據(jù)壓縮以及界面展示八部分,通過模塊化的方式完成系統(tǒng)功能并完成系統(tǒng)功能和性能方面的測(cè)試,將一定的用戶信息通過Web頁(yè)面展示。 本文針對(duì)各個(gè)模塊的功能需求,取得了以下研究成果： 1、并發(fā)處理模塊：使用完成端口技術(shù)解決了并發(fā)延遲問題,有效解決大量線程間切換所引起的系統(tǒng)開銷過大的問題。 2、轉(zhuǎn)發(fā)識(shí)別處理模塊：多對(duì)多服務(wù)器中,服務(wù)器需將用戶請(qǐng)求準(zhǔn)確發(fā)送到某一傳感器上,同時(shí)傳感器或數(shù)據(jù)庫(kù)信息虛準(zhǔn)確轉(zhuǎn)發(fā)到信息請(qǐng)求來源。 3、數(shù)據(jù)還原模塊：通過相應(yīng)解密算法將接收的二進(jìn)制數(shù)據(jù)進(jìn)行還原,分別得到掃描頻譜信息原始數(shù)據(jù)和單點(diǎn)頻譜信息原始數(shù)據(jù)。 4、數(shù)據(jù)存儲(chǔ)模塊：將解碼后的數(shù)據(jù)分布式存儲(chǔ)在ORACLE數(shù)據(jù)庫(kù)中,以便日后查詢?cè)L問。 5、數(shù)據(jù)壓縮模塊：壓縮模塊通過Zlib技術(shù)來完成,壓縮后的數(shù)據(jù)在傳輸?shù)倪^程中減少了帶寬的占用,同時(shí)減緩了服務(wù)器的壓力。 6、界面展示模塊：界面展示模塊是通過Web界面的和Android界面的形式展示用戶數(shù)據(jù)庫(kù)中信息,以實(shí)時(shí)頻譜圖的形式顯示所感知到的數(shù)據(jù)。
[Abstract]:With the continuous development of communication technology and the increasing popularity of software radio technology, the spectrum has become a very scarce resource, and we need more and more of this scarce spectrum information resources. The task of sensing spectrum information is becoming more and more important. Internet technology and database technology provide a good platform for spectrum information perception. A large number of distributed sensors store the data in a particular data center through the transmission of the network. It not only provides a good condition for spectrum information perception, but also brings a lot of technical tests. The goal of the research on spectrum sensing based on concurrent transmission of data is to satisfy a large number of distributed sensors. While receiving messages accurately, The problem of delay and connection loss caused by the processing of concurrent connection by the server due to its own performance is effectively solved, and the data is restored to get a good data display. In this paper, the relative mature network server architecture model and concurrent processing technology are studied, combined with the characteristics of the current server structure. A spectrum sensing system based on concurrent data transmission is designed and implemented. The system is divided into user registration, user authentication, concurrent processing, forwarding and identification processing, data restoration, data storage through the partition of function modules. Data compression and interface display eight parts, through modularization way to complete the system function and complete the system function and performance test, a certain user information through the Web page display. In this paper, according to the functional requirements of each module, the following research results have been achieved:. 1. Concurrency processing module: the completion port technology is used to solve the problem of concurrent delay, which effectively solves the problem of excessive system overhead caused by a large number of threads switching. 2, forwarding identification processing module: in many-to-many servers, the server needs to send the user request to a sensor accurately, and the sensor or database information should be forwarded to the source of the information request. 3, data restoration module: the binary data received is restored by the corresponding decryption algorithm, and the original data of scanning spectrum information and single point spectrum information are obtained respectively. 4, data storage module: the decoded data is distributed stored in ORACLE database for later query and access. 5, data compression module: the compression module is completed by Zlib technology, the compressed data in the transmission process reduces the bandwidth occupation, at the same time reduces the pressure of the server. 6. Interface display module: the interface display module displays the information in the user database through the form of Web interface and Android interface, and displays the perceived data in the form of real-time spectrum chart.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN925

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