基于層次交互機(jī)制的機(jī)會(huì)網(wǎng)絡(luò)超寬帶編碼算法
發(fā)布時(shí)間:2019-06-14 12:40
【摘要】:當(dāng)前機(jī)會(huì)網(wǎng)絡(luò)數(shù)據(jù)超寬帶編碼優(yōu)化算法在數(shù)據(jù)傳輸中大都采用帶寬分割方式進(jìn)行傳輸,導(dǎo)致節(jié)點(diǎn)數(shù)據(jù)分組傳輸時(shí),易產(chǎn)生寬帶抖動(dòng)現(xiàn)象,且不能同時(shí)進(jìn)行信源-信道糾錯(cuò)編碼過程,使其難以降低"誤差擴(kuò)散"效應(yīng)。為此提出一種基于層次信息交互自感機(jī)制的機(jī)會(huì)網(wǎng)絡(luò)數(shù)據(jù)超寬帶編碼優(yōu)化算法。通過統(tǒng)計(jì)節(jié)點(diǎn)的時(shí)域累計(jì)誤差,采取根分組及子分組誤差生成樹的方法,構(gòu)建信源層分組編碼,通過對信源層分組進(jìn)行權(quán)重控制,優(yōu)化信源傳輸,降低網(wǎng)絡(luò)傳輸時(shí)的誤碼帶寬;基于信源-信道聯(lián)合編碼方式,設(shè)計(jì)層次信息交互自感機(jī)制,依據(jù)節(jié)點(diǎn)的重要性的高低分別進(jìn)行數(shù)據(jù)傳輸,提高網(wǎng)絡(luò)傳輸能力,降低數(shù)據(jù)傳輸過程中萊斯噪聲的干擾,降低高衰落環(huán)境對數(shù)據(jù)傳輸?shù)挠绊。仿真結(jié)果表明,與CSAMT算法、PROPHET算法相比,所提算法具有更高的數(shù)據(jù)傳輸帶寬與更低的誤碼帶寬,表現(xiàn)出更好的數(shù)據(jù)超寬帶編碼優(yōu)化性能。
[Abstract]:At present, the ultra-broadband coding optimization algorithm of opportunity network data is mostly transmitted by bandwidth segmentation in data transmission, which leads to the phenomenon of broadband jitter in node data packet transmission, and can not carry out the source-channel error correction coding process at the same time, which makes it difficult to reduce the "error diffusion" effect. In this paper, an ultra-broadband coding algorithm for opportunity network data based on hierarchical information interaction self-inductance mechanism is proposed. By counting the cumulative error in time domain of the node, the source layer block coding is constructed by using the method of root packet and subpacket error generation tree. Through the weight control of the source layer packet, the source transmission is optimized, and the error bandwidth of the network transmission is reduced. Based on the joint source-channel coding method, the hierarchical information interaction self-inductance mechanism is designed. According to the importance of the nodes, the data transmission ability is improved, the interference of Rice noise in the process of data transmission is reduced, and the influence of high fading environment on data transmission is reduced. The simulation results show that compared with CSAMT algorithm and PROPHET algorithm, the proposed algorithm has higher data transmission bandwidth and lower error bandwidth, and shows better data UWB coding optimization performance.
【作者單位】: 安陽工學(xué)院計(jì)算機(jī)科學(xué)與信息工程學(xué)院;南京理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院;鄭州大學(xué)信息工程學(xué)院;
【基金】:國家科技重大專項(xiàng)課題基金項(xiàng)目(2012zx04011-012) 國家自然科學(xué)基金河南人才培養(yǎng)聯(lián)合基金項(xiàng)目(U1204613)
【分類號】:TP393.02
,
本文編號:2499392
[Abstract]:At present, the ultra-broadband coding optimization algorithm of opportunity network data is mostly transmitted by bandwidth segmentation in data transmission, which leads to the phenomenon of broadband jitter in node data packet transmission, and can not carry out the source-channel error correction coding process at the same time, which makes it difficult to reduce the "error diffusion" effect. In this paper, an ultra-broadband coding algorithm for opportunity network data based on hierarchical information interaction self-inductance mechanism is proposed. By counting the cumulative error in time domain of the node, the source layer block coding is constructed by using the method of root packet and subpacket error generation tree. Through the weight control of the source layer packet, the source transmission is optimized, and the error bandwidth of the network transmission is reduced. Based on the joint source-channel coding method, the hierarchical information interaction self-inductance mechanism is designed. According to the importance of the nodes, the data transmission ability is improved, the interference of Rice noise in the process of data transmission is reduced, and the influence of high fading environment on data transmission is reduced. The simulation results show that compared with CSAMT algorithm and PROPHET algorithm, the proposed algorithm has higher data transmission bandwidth and lower error bandwidth, and shows better data UWB coding optimization performance.
【作者單位】: 安陽工學(xué)院計(jì)算機(jī)科學(xué)與信息工程學(xué)院;南京理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院;鄭州大學(xué)信息工程學(xué)院;
【基金】:國家科技重大專項(xiàng)課題基金項(xiàng)目(2012zx04011-012) 國家自然科學(xué)基金河南人才培養(yǎng)聯(lián)合基金項(xiàng)目(U1204613)
【分類號】:TP393.02
,
本文編號:2499392
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