Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial coverage, particularly for the example of time evolving networks with a changing number of wireless sensors being deployed. Specifically, our analysis focuses on the role different combinations of impenetrable obstacles and environmental noise play in connectivity and overall network structure. It is shown how the use of (i) temporal network graphs, and (ii) network centrality and regularity measures illustrate the differences between various options developed for the balancing act of energy and time efficiency in network coverage. Lastly, we compare the outcome of these measures with the less abstract classification variables, such as percent area covered, and cumulative distance travelled.

翻译：本文使用这些方法,更好地直观地描述我们在Voronoi型空间覆盖中观察到的性能变化,并提供分析措施,特别是随着无线传感器数量的变化而变化的时空网络的例子;具体地说,我们的分析侧重于不可穿透的障碍和环境噪音在连通性和总体网络结构中的作用的不同组合;说明了使用(一) 时间网络图和(二) 网络中心度和周期性措施如何说明为平衡网络覆盖中的能源作用和时间效率而制定的各种选择之间的差异;最后,我们将这些措施的结果与不太抽象的分类变量(如覆盖的百分数)和累计距离进行比较。