
arXiv: 1703.04230
A graph is $k$-connected if it has $k$ internally-disjoint paths between every pair of nodes. A subset $S$ of nodes in a graph $G$ is a $k$-connected set if the subgraph $G[S]$ induced by $S$ is $k$-connected; $S$ is an $m$-dominating set if every $v \in V \setminus S$ has at least $m$ neighbors in $S$. If $S$ is both $k$-connected and $m$-dominating then $S$ is a $k$-connected $m$-dominating set, or $(k,m)$-cds for short. In the $k$-Connected $m$-Dominating Set ($(k,m)$-CDS) problem the goal is to find a minimum weight $(k,m)$-cds in a node-weighted graph. We consider the case $m \geq k$ and obtain the following approximation ratios. For unit disc-graphs we obtain ratio $O(k\ln k)$, improving the previous ratio $O(k^2 \ln k)$. For general graphs we obtain the first non-trivial approximation ratio $O(k^2 \ln n)$.
FOS: Computer and information sciences, Connectivity, \(k\)-connected graph, Approximation algorithms, \(m\)-dominating set, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Graph theory (including graph drawing) in computer science, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), approximation algorithm
FOS: Computer and information sciences, Connectivity, \(k\)-connected graph, Approximation algorithms, \(m\)-dominating set, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Graph theory (including graph drawing) in computer science, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), approximation algorithm
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