  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.
