摘要
针对链路不稳定和拓扑动态变化的无线融断网络中通信困难问题,文中提出了一种生物启发的数据传输算法。利用多头绒泡菌的智能特性与无线融断网络的动态拓扑,搭建了自适应的无线融断网络仿生模型。通过优化下一跳节点选择方法和分割网络间的数据逐跳传输,研究了拓扑动态变化过程中的数据传输问题。研究结果表明:通过优化了下一跳节点选择策略,得到概率值最大的节点,实现了间断性连通网络中端到端的尽力通信。将生物觅食过程映射到网络的数据传输,演算出节点调节率的数学表达。与Epidemic,Spray&Wait,Prophet算法相比,生物启发的数据传输算法在投递成功率、投递延迟、网络负载率方面综合提高了33%。
This paper presents a bio inspired data transmission algorithm to solve the communication difficulties in the wireless weak-connected network with unstable links and dynamic topology.Based on the intelligent characteristics of Physarum polycephalum and the dynamic topology of the wireless weak connected network,an adaptive bionic model of the wireless weak-connected network is built.By optimizing the next hop node selection method and the data hop-by-hop transmission between the segmented networks,the problem of data transmission in the process of topology dynamic change is studied.The results show that the node with the largest probability value is obtained by optimizing the next-hop node selection strategy and that the end-to-end best-effort communication in the intermittently connected network is realized.The biological foraging process is mapped to the network data transmission,and the mathematical expression of the node regulation rate is calculated.Compared with the Epidemic,Prophet,Spray&Wait algorithms,the bio-inspired data transmission algorithm improves the delivery ratio,delivery delay and network overhead comprehensively by 33%.
作者
姚红娟
华翔
王海
李宝华
YAO Hongjuan;HUA Xiang;WANG Hai;LI Baohua(School of Electronic Information Engineering,Xi’an Technological University,Xi’an 710021,China;School of Defence Science and Technology,Xi’an Technological University,Xi’an 710021,China;Xi’an Qinghua Company,North Special Energy Group,Xi’an 710025,China)
出处
《西安工业大学学报》
CAS
2021年第2期219-225,共7页
Journal of Xi’an Technological University
基金
陕西省重点研发计划项目(2020GY-073)。
关键词
无线融断网络
动态拓扑
生物启发
尽力通信
数据传输
wireless weak connected network
dynamic topology
bio inspiraed
best-effort communication
data transmission
