Hierarchical clustering is a basic networking model for sensing layer of the Internet of things based on a large-scale wireless sensor network, a maintaining method for non-periodic, energy-efficient and dynamic clusters is proposed to solve the problem of numerous energy consumption resulted from the traditional periodic and whole-network re-clustering mechanism. Only changed clusters are re-clustered when the residual energy of their cluster heads is less or their nodes are compromised, and a scheme of integrated inner-clusters and inter-clusters maintaining method is applied to single or multi-hop network. The method is characteristic in non-periodic, local and dynamic response for the changed cluster(s)or node(s) ,its outstanding merit is able to largely improve the energy efficiency of sensor nodes in the sensing layer of the Internet of things. Simulation results imply that the proposed method can greatly prolong the lifetime of network compared with the traditional one, concretely, the average lifetime of network nodes keep under 100% active and may increase by nearly 9 times in our simulations than classic LEACH protocol.%层次式分簇网络拓扑结构是基于大规模无线传感网的物联网感知层的基本组网模式,为解决传统周期性全局簇维护所带来的大量能量消耗问题,提出一种非周期高效动态簇维护方法.当簇头剩余能量相对较低或节点被敌方攻陷时,只在受影响簇的局域范围进行重新成簇,并针对单跳或多跳网络,采取簇内和簇间维护相结合的策略.该方法对簇或节点状态变化具有非周期、局域和动态响应的特点,突出的优势是可明显改善物联网感知层传感器节点的能量利用效率.仿真实验结果表明:与传统的周期性全局重新成簇方法相比,本方案能够大大延长网络的生命周期,在仿真条件下对比经典LEACH协议,100％节点存活时网络的平均生命周期最高可延长近9倍.
展开▼
机译：在亚音速飞行速度下用非定常非周期运动计算直翼后方下冲的近似方法（priblizhennyy方法Rascheta skosa potoka za pryamym Krylom pri Neustanovivshemsya aperiodicheskom Dvizhenii na Dozvukovykh skorostyakh poleta）。
