Li Jiahao, Tao Yuhao, Yuan Kai, Tang Rongxin, Hu Zhiming, Yan Weichao, Liu Shiyun
School of Mathematics and Computer Science, Nanchang University, Nanchang 330031, China.
Institute of Space Science and Technology, Nanchang University, Nanchang 330031, China.
Sensors (Basel). 2022 Jul 11;22(14):5179. doi: 10.3390/s22145179.
Internet of Things (IoT) and Big Data technologies are becoming increasingly significant parts of national defense and the military, as well as in the civilian usage. The proper deployment of large-scale wireless sensor network (WSN) provides the foundation for these advanced technologies. Based on the Fruchterman-Reingold graph layout, we propose the Fruchterman-Reingold Hexagon (FR-HEX) algorithm for the deployment of WSNs. By allocating edges of hexagonal topology to sensor nodes, the network forms hexagonal network topology. A comprehensive evaluation of 50 simulations is conducted, which utilizes three evaluation metrics: average moving distance, pair correlation diversion (PCD), and system coverage rate. The FR-HEX algorithm performs consistently, the WSN topologies are properly regulated, the PCD values are below 0.05, and the WSN system coverage rate reaches 94%. Simulations involving obstacles and failed nodes are carried out to explore the practical applicability of the FR-HEX algorithm. In general, the FR-HEX algorithm can take full advantage of sensors' hardware capabilities in the deployment. It may be a viable option for some IoT and Big Data applications in the near future.
物联网(IoT)和大数据技术在国防、军事以及民用领域正变得越来越重要。大规模无线传感器网络(WSN)的合理部署为这些先进技术提供了基础。基于Fruchterman-Reingold图布局,我们提出了用于WSN部署的Fruchterman-Reingold六边形(FR-HEX)算法。通过将六边形拓扑的边分配给传感器节点,网络形成六边形网络拓扑。利用平均移动距离、对相关性偏差(PCD)和系统覆盖率这三个评估指标,对50次模拟进行了全面评估。FR-HEX算法表现稳定,WSN拓扑得到合理规整,PCD值低于0.05,WSN系统覆盖率达到94%。进行了涉及障碍物和故障节点的模拟,以探索FR-HEX算法的实际适用性。总体而言,FR-HEX算法在部署中能够充分利用传感器的硬件能力。在不久的将来,它可能是一些物联网和大数据应用的可行选择。