On the Existence of Truthful Mechanisms for the Minimum-Cost Approximate Shortest-Paths Tree Problem

Let a communication network be modeled by a graph G = (V,E) of n nodes and m edges, where with each edge is associated a pair of values, namely its cost and its length. Assume now that each edge is controlled by a selfish agent, which privately holds the cost of the edge. In this paper we analyze the problem of designing in this non-cooperative scenario a truthful mechanism for building a broadcasting tree aiming to balance costs and lengths. More precisely, given a root node r ∈V and a real value λ≥1, we want to find a minimum cost (as computed w.r.t. the edge costs) spanning tree of G rooted at r such that the maximum stretching factor on the distances from the root (as computed w.r.t. the edge lengths) is λ. We call such a tree the Minimum-cost λ-Approximate Shortest-paths Tree (λ-MAST) First, we prove that, already for the unit length case, the λ-MAST problem is hard to approximate within better than a logarithmic factor, unless NP admits slightly superpolynomial time algorithms. After, assuming that the graph G is directed, we provide a (1 + e)(n – 1)-approximate truthful mechanism for solving the problem, for any e> 0. Finally, we analyze a variant of the problem in which the edge lengths coincide with the private costs, and we provide: (i) a constant lower bound (depending on λ) to the approximation ratio that can be achieved by any truthful mechanism; (ii) a $(1+ {{n-1}\over{\lambda}})$-approximate truthful mechanism