摘要
针对传统算法部署在融合网络中无法明确节点多跳参数的问题,提出一种针对广播半径范围内节点对之间跳值精确量化的多级计算机制。该机制首先通过为融合网络建立节点广播模型,讨论跳值层次化分析的必要性。然后根据接收参考节点在高斯噪声环境下接收到的数据强度,为节点对建立跳数层次化数学模型,以改善广播半径范围内节点对的评估距离参数和跳值参数,为计算待测异常目标方位提供可靠的参数依据。最后在模拟环境中搭建实验模型对评估算法开展多样性考察。经多个指标频繁测试表明,所设计的算法评估思想不仅可以最优化全网开销资源,且相对于传统研究方案更适合部署在复杂结构的融合网络中。
In order to solve the problem that the traditional algorithm can not determine the multi-hop parameters of nodes in the fusion network, a multi-level computer system is proposed to accurately quantify the jump values between node pairs in the broadcast radius range. Firstly, the mechanism discusses the necessity of hierarchical analysis of hop values by establishing a node broadcasting model for fusion networks. Then, according to the data intensity received by the receiving reference node in Gao Si noise environment, a hierarchical mathematical model of hop number is established for the node pair, in order to improve the evaluation distance parameters and hop value parameters of the node pair in the broadcast radius range, and to provide a reliable parameter basis for calculating the azimuth of the abnormal target to be measured. Finally, an experimental model is built in the simulation environment to investigate the diversity of the evaluation algorithm. The frequent tests of several indexes show that the proposed algorithm can not only optimize the overhead resources of the whole network, but also is more suitable for deployment in the converged network with complex structure than the traditional research scheme.
作者
王黎欣
WANG Li-xin(College of Engineering, Fuzhou Institute of Technology, Fuzhou 350506,China)
出处
《佳木斯大学学报（自然科学版）》
CAS
2019年第5期748-751,共4页
Journal of Jiamusi University：Natural Science Edition
关键词
融合
目标
广播
参数
评估
fusion
target
broadcasting
parameter
evaluation
