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無線傳感器網(wǎng)絡DV-HOP定位算法的研究與改進

發(fā)布時間:2018-01-10 07:28

  本文關鍵詞:無線傳感器網(wǎng)絡DV-HOP定位算法的研究與改進 出處:《沈陽工業(yè)大學》2015年碩士論文 論文類型:學位論文


  更多相關文章: 無線傳感器網(wǎng)絡 DV-HOP定位算法 改進算法 跳距 三邊定位法


【摘要】:無線傳感器網(wǎng)絡技術是一種綜合了傳感器技術、無線通信技術、分布式信息處理技術、現(xiàn)代網(wǎng)絡通信及嵌入式技術的一種綜合類應用技術。隨著無線傳感器網(wǎng)絡技術的發(fā)展,該項技術在人們的日常生活中得到了越來越多的應用。其中無線傳感器網(wǎng)絡定位技術是無線傳感器網(wǎng)絡技術的重要應用之一,具有巨大的研究價值。而定位算法,在無線傳感器網(wǎng)絡定位技術的研究中,起到了重要的作用。但是,目前的無線傳感器網(wǎng)絡定位算法的精度還不夠高,有待完善。因此對定位算法的研究,是非常必要的。 本文以提高無線傳感器網(wǎng)絡定位算法的精度為目標,在現(xiàn)有的無線傳感器網(wǎng)絡DV-HOP定位算法的基礎上,對其改進,,提出了改進的DV-HOP定位算法。改進的DV-HOP定位算法,主要由三個階段組成:第一階段是利用傳感器節(jié)點的自組織性,計算各個已知節(jié)點之間的平均跳距;第二階段是對第一階段所獲取的平均跳距進行修正處理;第三階段是利用修正的平均跳距值確定已知節(jié)點與未知節(jié)點的距離,然后進行三邊定位計算,最終確定未知節(jié)點坐標。這種改進的DV-HOP定位算法減小了已知節(jié)點與未知節(jié)點之間距離的誤差,因此,通過三邊定位法計算出的未知節(jié)點的坐標,就更加精確了。 本文對改進前后的兩種DV-HOP定位算法進行仿真實驗,實驗結果表明:改進前后的兩種DV-HOP定位算法的定位精度,都隨著已知節(jié)點數(shù)量以及通訊半徑的增加而降低。但在誤差降低的過程中,改進的DV-HOP定位算法與改進前算法相比,無論是在誤差降低幅度,還是在定位穩(wěn)定性上,都體現(xiàn)出很大的優(yōu)越性。 本文最終證明了,改進的DV-HOP定位算法與改進前的定位算法進行相比,誤差得到了有效的降低,精度得到了提高。
[Abstract]:Wireless sensor network technology is a kind of integrated sensor technology, wireless communication technology, distributed information processing technology. A comprehensive application technology of modern network communication and embedded technology. With the development of wireless sensor network technology. This technology has been applied more and more in people's daily life, among which wireless sensor network location technology is one of the important applications of wireless sensor network technology. The localization algorithm plays an important role in the research of wireless sensor network localization technology. However, the accuracy of the current wireless sensor network localization algorithm is not high enough. Therefore, it is necessary to study the localization algorithm. This paper aims to improve the accuracy of wireless sensor network localization algorithm, based on the existing wireless sensor network DV-HOP localization algorithm, improve it. An improved DV-HOP localization algorithm is proposed. The improved DV-HOP localization algorithm is mainly composed of three stages: the first stage is to utilize the self-organization of sensor nodes. The average hopping distance between each known node is calculated. The second stage is to correct the average jump distance obtained in the first stage. In the third stage, the distance between the known node and the unknown node is determined by the modified average hopping distance, and then the triangulation calculation is carried out. Finally, the unknown node coordinates are determined. The improved DV-HOP localization algorithm reduces the error between the known nodes and the unknown nodes, so the coordinates of the unknown nodes are calculated by the trilateral localization method. It's more precise. In this paper, two kinds of DV-HOP localization algorithms are simulated before and after the improvement. The experimental results show that the positioning accuracy of the two DV-HOP localization algorithms before and after the improvement. However, in the process of error reduction, the improved DV-HOP localization algorithm compared with the improved algorithm, whether in the error reduction range. Or in the stability of positioning, both reflect a great advantage. This paper finally proves that the error of the improved DV-HOP localization algorithm is reduced effectively and the precision is improved compared with the former one.
【學位授予單位】:沈陽工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TP212.9;TN929.5

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