飞控与探测2024,Vol.7Issue(4):104-110,7.
基于行为交互的集群编队网络自组织算法
Self-Organization Algorithm of Cluster Formation Network Based on Behavioral Interaction
王萌 1张迪 2邱宏波 1何伟1
作者信息
- 1. 北京自动化控制设备研究所·北京·100074
- 2. 空军装备部驻北京地区第二军事代表室·北京·100074
- 折叠
摘要
Abstract
In order to meet the requirements of self-organization construction of formation networks under harsh conditions,this paper studies the networking algorithms of wireless self-organizing networks,deeply integrates sev-eral medium access control (MAC)protocols,and proposes a self-organizing algorithm for formation networks based on behavioral interaction. The algorithm competes with the master node through random competition,avoi-ding the cumbersome process of setting node identities or the problem of network paralysis caused by the damage of the main node,and improving the security of formation networking;Through behavioral interaction,each node ob-tains a dedicated transmission time slot to achieve collision-free data transmission across the entire network,ulti-mately achieving the transmission performance of the fixed allocation MAC protocol. Finally,the algorithm is veri-fied by simulation,and the results show that 16 nodes complete networking within 6 seconds,which can effectively support the demand for self-organized formation network construction in typical scenarios such as future collaborative detection and guidance.关键词
自组织网络/媒体接入控制协议/随机竞争/行为交互/协同探测Key words
Ad Hoc network/medium access control protocol/random competition/behavioral interaction/collaborative detection分类
航空航天引用本文复制引用
王萌,张迪,邱宏波,何伟..基于行为交互的集群编队网络自组织算法[J].飞控与探测,2024,7(4):104-110,7.