Abstract Hop Count Matrix (HCM) contains rich connectivity information, which is very
important for various Internet of Things (IoT) applications, especially for obtaining the …

For many important network types, physical coordinate systems and physical distances are
either difficult to discern or inapplicable. Accordingly, coordinate systems and …

Learning and exploring the connectivity of unknown networks represent an important
problem in practical applications of communication networks and social-media networks …

The hop count matrices (HCMs) are very helpful in obtaining the location information of
sensing nodes in Internet of Things (IoT). However, in some scenarios, the HCMs cannot be …

Minimum resolution set and associated metric dimension provide the basis for unique and
systematic labeling of nodes of a graph (G) using distances to a set of landmarks. Such a …

Massive penetration of networks such as social and communication networks and the
growth of networked systems are leading to a colossal number of connections and data …

Future generations of communication networks, beyond 5G, will continue the phenomenal
expansion of mobile communications to many fields like environment monitoring, self driving …