基于层次交互机制的机会网络超宽带编码算法
发布时间：2019-06-14 12:40
【摘要】：当前机会网络数据超宽带编码优化算法在数据传输中大都采用带宽分割方式进行传输,导致节点数据分组传输时,易产生宽带抖动现象,且不能同时进行信源-信道纠错编码过程,使其难以降低"误差扩散"效应。为此提出一种基于层次信息交互自感机制的机会网络数据超宽带编码优化算法。通过统计节点的时域累计误差,采取根分组及子分组误差生成树的方法,构建信源层分组编码,通过对信源层分组进行权重控制,优化信源传输,降低网络传输时的误码带宽;基于信源-信道联合编码方式,设计层次信息交互自感机制,依据节点的重要性的高低分别进行数据传输,提高网络传输能力,降低数据传输过程中莱斯噪声的干扰,降低高衰落环境对数据传输的影响。仿真结果表明,与CSAMT算法、PROPHET算法相比,所提算法具有更高的数据传输带宽与更低的误码带宽,表现出更好的数据超宽带编码优化性能。
[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.
【作者单位】： 安阳工学院计算机科学与信息工程学院;南京理工大学计算机科学与工程学院;郑州大学信息工程学院;
【基金】：国家科技重大专项课题基金项目(2012zx04011-012) 国家自然科学基金河南人才培养联合基金项目(U1204613)
【分类号】：TP393.02
，
本文编号：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.
【作者单位】： 安阳工学院计算机科学与信息工程学院;南京理工大学计算机科学与工程学院;郑州大学信息工程学院;
【基金】：国家科技重大专项课题基金项目(2012zx04011-012) 国家自然科学基金河南人才培养联合基金项目(U1204613)
【分类号】：TP393.02
，
本文编号：2499392
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