基于层次交互机制的机会网络超宽带编码算法

Opportunistic network ultra wideband coding algorithm based on hierarchical interaction mechanism

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。

The traditional opportunistic network data ultra wide-band coding optimization algorithm transmits data through hand- width partitioning. As a result, it usually causes broadband jittering and cannot perform source-channel error correction coding simultaneously, making it very challenging to reduce the error propagation effect. To address these problems, an opportunistic network data ultra wide-band coding optimization algorithm based on hierarchical information interaction self-inductance mechanism was proposes. The time-domain accumulated error of the node was computed. The root-and sub-packet error spanning tree method was used to construct the source-layer packet code. Weight of the source-layer packet was controlled to optimize source data transmission and reduce code error bandwidth during network transmission. Based on the joint source-channel coding scheme, a hierarchical information interaction self-inductance mechanism was developed to transmit data in descending order of node importance. The network transmission ability was improved, the interference of Rician noise was reduced, and the influence of high-attenuation environment on data transmission was considerably alleviated. Simulation results demonstrate the ability of the proposed algorithm to perform data ultra wide-band coding optimization more effectively while producing higher data transmission bandwidth and smaller code error bandwidth, compared with CSAMT and PROPHET.