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Let a communication network be modelled by a directed graph G=(V,E) of n nodes and m edges, and assume that each edge is owned by a selfish agent, which privately holds a pair of values associated with the edge, namely its cost and its length. In this paper we analyze the problem of designing a truthful mechanism for computing a spanning arborescence of G rooted at a fixed node r ∈V having minimum cost (as computed w.r.t. the cost function) among all the spanning arborescences rooted at r which satisfy the following constraint: for each node, the distance from r (as computed w.r.t. the length function) must not exceed a fixed bound associated with the node. First, we prove that the problem is hard to approximate within better than a logarithmic factor, unless NP admits slightly superpolynomial time algorithms. Then, we provide a truthful single-minded mechanism for the problem, which guarantees an approximation factor of (1+ε)(n–1), for any ε0.