基于車載傳感器網(wǎng)絡(luò)的路口數(shù)據(jù)傳輸?shù)乃惴ㄑ芯?/H1>
發(fā)布時(shí)間：2018-10-15 17:55
【摘要】：現(xiàn)今車輛上安裝了大量的種類豐富傳感器,這些傳感器根據(jù)其自身功能而產(chǎn)生不同類型的數(shù)據(jù),隨著傳感器技術(shù)的不斷進(jìn)步和存儲(chǔ)介質(zhì)成本的降低,車輛上傳感器所產(chǎn)生的數(shù)據(jù)除了文本文件之外,圖片,音頻和視頻的數(shù)量也大大增加。這些大塊的數(shù)據(jù)也被越來越多的人希望能夠在車載傳感器網(wǎng)絡(luò)(Vehicular Sensor Network,VSN)中進(jìn)行傳輸。一種能夠有效地在車載傳感器網(wǎng)絡(luò)中傳播數(shù)據(jù)的路由算法的需求越來越來強(qiáng)烈。在車載自組織網(wǎng)絡(luò)(Vehicular Ad-hoc NETwork,VANET)中有很多路由算法能夠移植到車載傳感器網(wǎng)絡(luò)中。然而,所有這些算法都沒有考慮到車載自組織網(wǎng)絡(luò)中大量的數(shù)據(jù)的傳播,這些算法只是假設(shè)只要在發(fā)送車輛通信范圍以內(nèi),數(shù)據(jù)就能夠完全的被傳輸?shù)侥繕?biāo)車輛和設(shè)施中。實(shí)際上,因?yàn)檐囕v的高速移動(dòng)性,車輛對車輛(Vehicle to Vehicle,V2V)或者車輛對設(shè)施(Vehicle to Infrastructure,V2I)的傳輸時(shí)間是非常短暫的,尤其是當(dāng)發(fā)送車輛是在路口或者拐角處,而且向右邊或左邊發(fā)送數(shù)據(jù)時(shí),因?yàn)槁愤叺慕ㄖ蜆淠緯?huì)阻擋向右邊或左邊的通信信號。唯一能夠在路口傳輸數(shù)據(jù)的機(jī)會(huì)是發(fā)送車輛駛過路口的那一瞬間�，F(xiàn)有的在車載自組織網(wǎng)絡(luò)中的路由算法在遇到路口或轉(zhuǎn)角處傳輸數(shù)據(jù)時(shí)會(huì)產(chǎn)生相當(dāng)巨大的數(shù)據(jù)阻塞,而且只能來回的不停傳送少量的數(shù)據(jù),這在時(shí)間和計(jì)算資源上無疑是巨大的浪費(fèi)。本論文提出的路口處基于車載傳感器網(wǎng)絡(luò)數(shù)據(jù)分發(fā)傳輸?shù)乃惴ň褪怯糜诮鉀Q上述問題,在解決過程中還會(huì)用到一些車輛上的傳感器,比如說:加速計(jì),GPS等。最終通過仿真的方式,在同車載自組織網(wǎng)絡(luò)中的其他算法中比較,使車輛在路口的數(shù)據(jù)傳輸效率至少提升30%。考慮到在車輛比較稀疏的交通環(huán)境下,已知的路由算法都很難在車輛平均行駛時(shí)間內(nèi)完全的傳輸完大量的數(shù)據(jù),我們又提出了路口處停放車輛輔助的數(shù)據(jù)傳輸算法。該方法適合相當(dāng)緊急的大量的數(shù)據(jù)在路口處的傳輸,也能夠保障在稀疏的交通環(huán)境下,數(shù)據(jù)傳輸?shù)靡赃M(jìn)行。
[Abstract]:Today, there are a large variety of sensors installed on vehicles. These sensors produce different types of data according to their own functions, with the development of sensor technology and the reduction of cost of storage media. In addition to text files, the amount of images, audio and video generated by sensors on the vehicle has increased significantly. These chunks of data are also being transmitted by a growing number of people in a car-borne sensor network (Vehicular Sensor Network,VSN). There is a growing demand for a routing algorithm that can effectively propagate data in vehicular sensor networks. There are many routing algorithms in vehicle Ad Hoc Networks (Vehicular Ad-hoc NETwork,VANET) that can be transplanted to vehicular sensor networks. However, all these algorithms do not take into account the propagation of a large amount of data in the vehicle-borne ad hoc network. These algorithms only assume that the data can be completely transmitted to the target vehicle and the facility as long as the data is within the range of the sending vehicle communication. In fact, because of the high speed of the vehicle, the transmission time between the vehicle to the vehicle (Vehicle to Vehicle,V2V) or the vehicle-to-facility (Vehicle to Infrastructure,V2I) is very short, especially when the sending vehicle is at the intersection or corner, and the data is sent to the right or left. Because roadside buildings and trees block communications to the right or left. The only chance to transmit data at an intersection is the moment a vehicle passes through the intersection. The existing routing algorithms in vehicle-borne ad hoc networks can produce a huge block of data when they encounter traffic at an intersection or corner, and can only transfer a small amount of data back and forth. This is a huge waste of time and computing resources. The algorithm of data distribution and transmission based on vehicle-borne sensor network proposed in this paper is used to solve the above problems, and some sensors on the vehicle, such as accelerometer, GPS and so on, will be used in the process of solving the problem. Finally, compared with other algorithms in the vehicle-borne ad hoc network, the data transmission efficiency of the vehicle at the intersection can be improved by at least 30% through simulation. Considering that in the sparse traffic environment, the known routing algorithms are very difficult to completely transfer a large amount of data within the average travel time of the vehicle, we propose a vehicle assisted data transmission algorithm at the intersection. This method is suitable for a large number of urgent data transmission at intersections, and can also ensure that data transmission can be carried out in sparse traffic environment.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495;TN929.5;TP212.9
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，
本文編號：2273342
本文鏈接：http://sikaile.net/kejilunwen/wltx/2273342.html
[Abstract]:Today, there are a large variety of sensors installed on vehicles. These sensors produce different types of data according to their own functions, with the development of sensor technology and the reduction of cost of storage media. In addition to text files, the amount of images, audio and video generated by sensors on the vehicle has increased significantly. These chunks of data are also being transmitted by a growing number of people in a car-borne sensor network (Vehicular Sensor Network,VSN). There is a growing demand for a routing algorithm that can effectively propagate data in vehicular sensor networks. There are many routing algorithms in vehicle Ad Hoc Networks (Vehicular Ad-hoc NETwork,VANET) that can be transplanted to vehicular sensor networks. However, all these algorithms do not take into account the propagation of a large amount of data in the vehicle-borne ad hoc network. These algorithms only assume that the data can be completely transmitted to the target vehicle and the facility as long as the data is within the range of the sending vehicle communication. In fact, because of the high speed of the vehicle, the transmission time between the vehicle to the vehicle (Vehicle to Vehicle,V2V) or the vehicle-to-facility (Vehicle to Infrastructure,V2I) is very short, especially when the sending vehicle is at the intersection or corner, and the data is sent to the right or left. Because roadside buildings and trees block communications to the right or left. The only chance to transmit data at an intersection is the moment a vehicle passes through the intersection. The existing routing algorithms in vehicle-borne ad hoc networks can produce a huge block of data when they encounter traffic at an intersection or corner, and can only transfer a small amount of data back and forth. This is a huge waste of time and computing resources. The algorithm of data distribution and transmission based on vehicle-borne sensor network proposed in this paper is used to solve the above problems, and some sensors on the vehicle, such as accelerometer, GPS and so on, will be used in the process of solving the problem. Finally, compared with other algorithms in the vehicle-borne ad hoc network, the data transmission efficiency of the vehicle at the intersection can be improved by at least 30% through simulation. Considering that in the sparse traffic environment, the known routing algorithms are very difficult to completely transfer a large amount of data within the average travel time of the vehicle, we propose a vehicle assisted data transmission algorithm at the intersection. This method is suitable for a large number of urgent data transmission at intersections, and can also ensure that data transmission can be carried out in sparse traffic environment.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495;TN929.5;TP212.9
【相似文獻(xiàn)】
相關(guān)期刊論文 前2條
1 A.Rainschmidt ,苑春艷;網(wǎng)絡(luò)化通用性能監(jiān)視系統(tǒng)[J];國外機(jī)車車輛工藝;2002年04期
2 ;[J];;年期
相關(guān)博士學(xué)位論文 前1條
1 李旭;車載傳感器網(wǎng)絡(luò)的應(yīng)用及關(guān)鍵技術(shù)研究[D];上海交通大學(xué);2009年
相關(guān)碩士學(xué)位論文 前4條
1 羅鈺清;基于車載傳感器網(wǎng)絡(luò)的路口數(shù)據(jù)傳輸?shù)乃惴ㄑ芯縖D];電子科技大學(xué);2014年
2 史昕;基于PXA270的車載傳感器數(shù)據(jù)采集與處理方法研究[D];長安大學(xué);2011年
3 徐慶江;基于車載傳感器的路面質(zhì)量監(jiān)測系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn)[D];華中科技大學(xué);2012年
4 顏俊杰;基于ZigBee的車載傳感器網(wǎng)絡(luò)路由協(xié)議的研究[D];武漢理工大學(xué);2014年
，本文編號：2273342
本文鏈接：http://sikaile.net/kejilunwen/wltx/2273342.html
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