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

针对恶劣条件下对集群编队网络自组织构建的要求,对无线自组织网络组网算法进行了研究,将几种媒体接入控制(Medium Access Control, MAC)协议进行深度融合,提出了基于行为交互的集群编队网络自组织算法。该算法通过随机竞争的方式来竞争主节点,避免装订节点身份过程繁琐或主节点被损毁导致网络陷入瘫痪的问题,提升编队组网的安全性;通过行为交互,每个节点获得专有的传输时隙,实现全网节点无冲突的数据传输,最终达到固定分配MAC协议的传输性能。最后,通过仿真对算法进行验证,结果表明16个节点在6s内完成组网,可有力支撑未来协同探测、协同制导等典型场景下对编队网络自组织构建的需求。

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 several 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,avoiding 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 obtains a dedicated transmission time slot to achieve collision-free data transmission across the entire network,ultimately achieving the transmission performance of the fixed allocation MAC protocol.Finally,the algorithm is verified 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.