Improving the Price of Anarchy for Selfish Routing via Coordination Mechanisms

Computer Science – Computer Science and Game Theory

Scientific paper

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17 pages, 2 figures, preliminary version appeared at ESA 2011

Scientific paper

We reconsider the well-studied Selfish Routing game with affine latency functions. The Price of Anarchy for this class of games takes maximum value 4/3; this maximum is attained already for a simple network of two parallel links, known as Pigou's network. We improve upon the value 4/3 by means of Coordination Mechanisms. We increase the latency functions of the edges in the network, i.e., if $\ell_e(x)$ is the latency function of an edge $e$, we replace it by $\hat{\ell}_e(x)$ with $\ell_e(x) \le \hat{\ell}_e(x)$ for all $x$. Then an adversary fixes a demand rate as input. The \emph{engineered Price of Anarchy} of the mechanism is defined as the worst-case ratio of the Nash social cost in the modified network over the optimal social cost in the original network. Formally, if $\CM(r)$ denotes the cost of the worst Nash flow in the modified network for rate $r$ and $\Copt(r)$ denotes the cost of the optimal flow in the original network for the same rate then \[ \ePoA = \max_{r \ge 0} \frac{\CM(r)}{\Copt(r)}.\] We first exhibit a simple coordination mechanism that achieves for any network of parallel links an engineered Price of Anarchy strictly less than 4/3. For the case of two parallel links our basic mechanism gives 5/4 = 1.25. Then, for the case of two parallel links, we describe an {\em optimal} mechanism; its engineered Price of Anarchy lies between 1.191 and 1.192.

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