Adaptive Algorithm for Finding Connected Dominating Sets in Uncertain Graphs
The problem of finding a minimum weight connected dominating set (CDS) of a given undirected graph has been studied actively, motivated by operations of wireless ad hoc networks. In this paper, we formulate a new stochastic variant of the problem. In this problem, each node in the graph has a hidden random state, which represents whether the node is active or inactive, and we seek a CDS of the graph that consists of the active nodes. We consider an adaptive algorithm for this problem, which repeat choosing nodes and observing the states of the nodes around the chosen nodes until a CDS is found. Our algorithms have a theoretical performance guarantee that the sum of the weights of the nodes chosen by the algorithm is at most <inline formula> <tex math notation="LaTeX"$O(\alpha \log (1/\delta) /tex math>/inline formula> times that of any adaptive algorithm in expectation, where <inline formula> <tex math notation="LaTeX"\alpha /tex math>/inline formula> is an approximation factor for the node weighted polymatroid Steiner tree problem and <inline formula> <tex math notation="LaTeX"\delta /tex math>/inline formula> is the minimum probability of possible scenarios on the node states.
IEEE/ACM Transactions on Networking