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面向群智感知的機(jī)會網(wǎng)絡(luò)數(shù)據(jù)傳輸算法研究

發(fā)布時(shí)間:2019-03-08 21:07
【摘要】:群智感知作為一種新的感知模式,是指攜帶智能設(shè)備的移動人群通過無線通信來解決大規(guī)模的移動感知任務(wù)。近年來,為達(dá)到高效節(jié)能的數(shù)據(jù)傳輸目的,面向群智感知的機(jī)會網(wǎng)絡(luò)數(shù)據(jù)傳輸算法得到了廣泛的關(guān)注。已有的數(shù)據(jù)傳輸方案大都依賴于歷史通信記錄或者用戶的行動軌跡來完成數(shù)據(jù)傳輸,然而這些信息的獲取相對復(fù)雜,并且節(jié)點(diǎn)的歷史通信記錄或者行動軌跡都是動態(tài)變化,隨著通信規(guī)模的不斷擴(kuò)大,對應(yīng)數(shù)據(jù)的計(jì)算量十分龐大,這就導(dǎo)致了要在節(jié)點(diǎn)之間建立穩(wěn)定的通信鏈路非常困難,F(xiàn)有的數(shù)據(jù)傳輸算法,在傳輸成功率以及傳輸開銷率上仍存在諸多不足,論文設(shè)計(jì)了一種面向群智感知的數(shù)據(jù)傳輸方案,能夠較大的改善機(jī)會網(wǎng)絡(luò)中數(shù)據(jù)傳輸?shù)某晒β?有效降低數(shù)據(jù)傳輸過程中的網(wǎng)絡(luò)開銷。論文首先提出了一種基于阿基米德曲線的數(shù)據(jù)傳輸方案,以面向?yàn)?zāi)后救援應(yīng)急通信為應(yīng)用場景,為達(dá)到高效節(jié)能和數(shù)據(jù)穩(wěn)定傳輸目的,將阿基米德曲線引入到面向群智感知的機(jī)會網(wǎng)絡(luò)數(shù)據(jù)傳輸方案設(shè)計(jì)中。該方法根據(jù)阿基米德曲線均勻分布且不相互干擾的特性,并在以應(yīng)急救援通信場景中心為起點(diǎn)的阿基米德曲線上設(shè)置適量的靜態(tài)節(jié)點(diǎn)以來輔助數(shù)據(jù)的傳輸;同時(shí)從救災(zāi)現(xiàn)場攜帶智能設(shè)備的車輛與人群中選取高緩存、高通信范圍、高移動率等高效用值個(gè)體節(jié)點(diǎn)成立中心組與靜態(tài)節(jié)點(diǎn)進(jìn)行數(shù)據(jù)傳輸。該方案采用了內(nèi)外結(jié)合的方式,同時(shí)利用了輔助布置的靜態(tài)節(jié)點(diǎn)和網(wǎng)絡(luò)已有的高效節(jié)點(diǎn)進(jìn)行數(shù)據(jù)傳輸,在保證穩(wěn)定的傳輸成功率的同時(shí)達(dá)到了降低開銷的目的。在此基礎(chǔ)上,為進(jìn)一步提高數(shù)據(jù)傳遞成功率,我們設(shè)計(jì)了一種根據(jù)節(jié)點(diǎn)狀態(tài)賦予節(jié)點(diǎn)不同的傳輸概率計(jì)算方法的數(shù)據(jù)傳輸方案,對于靜態(tài)節(jié)點(diǎn)和動態(tài)節(jié)點(diǎn)給予不同的傳輸成功率刷新方法,從而達(dá)到有效提高數(shù)據(jù)傳輸成功率的目的,從而為群智感知網(wǎng)絡(luò)高效的數(shù)據(jù)傳輸提供有力保障。最后,為了方便算法的驗(yàn)證與分析,本文設(shè)計(jì)了一種面向?yàn)?zāi)后應(yīng)急通信的可視化模擬系統(tǒng)。
[Abstract]:Group perception, as a new mode of perception, refers to the mobile crowd carrying intelligent devices to solve large-scale mobile sensing tasks through wireless communication. In recent years, in order to achieve the purpose of efficient and energy-saving data transmission, the opportunity network data transmission algorithm for group perception has been paid more and more attention. Most of the existing data transmission schemes rely on the historical communication records or the user's action track to complete the data transmission. However, the acquisition of this information is relatively complex, and the historical communication records or action tracks of the nodes are dynamic changes. With the increasing of communication scale, the computation of corresponding data is very large, which makes it very difficult to establish stable communication links between nodes. The existing data transmission algorithms still have many shortcomings in transmission success rate and transmission expense rate. This paper designs a data transmission scheme oriented to group intelligence, which can greatly improve the success rate of data transmission in opportunistic networks. Effectively reduce the network overhead in the process of data transmission. Firstly, this paper proposes a data transmission scheme based on Archimedes curve, which takes emergency communication for post-disaster rescue as an application scenario, in order to achieve the purpose of efficient energy saving and stable data transmission. Archimedes curve is introduced into the group perception oriented opportunistic network data transmission scheme design. According to the characteristic of uniform distribution of Archimedes curve and no interference between each other, this method sets appropriate static nodes on Archimedes curve starting from the center of emergency rescue communication scene to transmit auxiliary data. At the same time, high cache, high communication range and high mobility rate are selected from vehicles and people carrying intelligent devices in disaster relief site to set up central group and static nodes for data transmission. In this scheme, the combination of internal and external is adopted, and the static nodes of auxiliary arrangement and the efficient nodes of network are used to transmit data. The scheme not only guarantees the stable success rate of transmission, but also reduces the overhead. On this basis, in order to further improve the success rate of data transfer, we design a data transmission scheme which gives nodes different transmission probability calculation methods according to the node state. For the static node and the dynamic node, different refresh methods are given to improve the success rate of data transmission, thus providing a powerful guarantee for the efficient data transmission of the group perception network. Finally, in order to facilitate the verification and analysis of the algorithm, a visual simulation system for post-disaster emergency communication is designed in this paper.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN92

【參考文獻(xiàn)】

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