本文關(guān)鍵詞：無線傳感器網(wǎng)絡(luò)擁塞控制算法的研究　出處：《南京理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 無線傳感器網(wǎng)絡(luò) 擁塞控制 協(xié)同路徑 傳輸能力 服務(wù)質(zhì)量

【摘要】：近年來,無線傳感器網(wǎng)絡(luò)得到了廣泛的關(guān)注和研究。無線傳感器網(wǎng)絡(luò)的大規(guī)模、多跳傳輸、多對一通信和緩存有限等特點,極易引發(fā)網(wǎng)絡(luò)的擁塞。網(wǎng)絡(luò)擁塞會增加網(wǎng)絡(luò)延時,降低吞吐量,增加丟包率,降低網(wǎng)絡(luò)的整體性能。為解決無線傳感器網(wǎng)絡(luò)擁塞的問題,論文對無線傳感器網(wǎng)絡(luò)出現(xiàn)的擁塞問題做了一些研究。首先,論文研究了無線傳感器網(wǎng)絡(luò)的最大傳輸能力,得出通過抑制網(wǎng)絡(luò)上游節(jié)點的數(shù)據(jù)發(fā)送速率無法解決網(wǎng)絡(luò)擁塞。因此,論文基于多屬性決策理論提出了一種改進(jìn)的基于協(xié)同路徑的擁塞控制算法。該算法綜合考察候選節(jié)點的擁塞因數(shù)、剩余能量、下一跳節(jié)點到過數(shù)據(jù)源節(jié)點與匯聚節(jié)點直線的距離、相鄰節(jié)點的數(shù)據(jù)流量、與擁塞點的距離、信道占用率這些屬性,從而選擇最佳候選節(jié)點建立協(xié)同路徑,緩解網(wǎng)絡(luò)擁塞。其次,通過MATLAB仿真平臺進(jìn)行了仿真,實驗結(jié)果驗證協(xié)同路徑擁塞控制算法在提高網(wǎng)絡(luò)吞吐量、降低網(wǎng)絡(luò)延時和網(wǎng)絡(luò)能耗等方面具有較好的性能,延長了網(wǎng)絡(luò)的生命周期。最后,論文以MSP430F5438A處理器和nRF24L01射頻芯片設(shè)計了匯聚節(jié)點,以MSP430F5310處理器和nRF24L01射頻芯片設(shè)計了網(wǎng)絡(luò)節(jié)點。用Visual Studio 2010開發(fā)協(xié)同路徑算法實現(xiàn)平臺,從網(wǎng)絡(luò)節(jié)點通信可靠性、組網(wǎng)和路徑搭建方面對協(xié)同路徑擁塞控制算法進(jìn)行測試分析。結(jié)果顯示基于協(xié)同路徑的算法具有很好的性能,能夠保證無線傳感器網(wǎng)絡(luò)的服務(wù)質(zhì)量。
[Abstract]:In recent years, wireless sensor networks have received extensive attention and research. Wireless sensor networks have the characteristics of large scale, multi-hop transmission, multi-to-one communication and limited buffer. Network congestion will increase network delay, reduce throughput, increase packet loss rate, and reduce the overall performance of the network. In order to solve the problem of wireless sensor network congestion. In this paper, the problem of congestion in wireless sensor networks is studied. Firstly, the maximum transmission capacity of wireless sensor networks is studied. It is concluded that the network congestion can not be solved by suppressing the data transmission rate of the upstream nodes of the network. Based on the theory of multi-attribute decision, an improved congestion control algorithm based on cooperative path is proposed, which synthesizes the congestion factor and residual energy of candidate nodes. The next hop node to the data source node and the convergence node straight line distance, the adjacent node data flow, the distance with the congestion point, the channel occupancy these attributes, thus selects the best candidate node to establish the cooperative path. Secondly, through the simulation platform of MATLAB, the experimental results show that the cooperative path congestion control algorithm can improve the network throughput. Reduce network delay and network energy consumption and other aspects of better performance, prolong the network life cycle. Finally. The convergent node is designed with MSP430F5438A processor and nRF24L01 RF chip. The network node is designed with MSP430F5310 processor and nRF24L01 RF chip, and the platform of cooperative path algorithm is developed by Visual Studio 2010. The cooperative path congestion control algorithm is tested and analyzed from the aspects of network node communication reliability, networking and path construction. The results show that the algorithm based on cooperative path has good performance. It can guarantee the quality of service of wireless sensor network.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP212.9;TN929.5

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本文編號：1369512