Truthful Mechanisms for Delivery with Agents


Date

2017

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

We study the game-theoretic task of selecting mobile agents to deliver multiple items on a network. An instance is given by $m$ packages (physical objects) which have to be transported between specified source-target pairs in an undirected graph, and $k$ mobile heterogeneous agents, each being able to transport one package at a time. Following a recent model [Baertschi et al. 2017], each agent i has a different rate of energy consumption per unit distance traveled, i.e., its weight. We are interested in optimizing or approximating the total energy consumption over all selected agents. Unlike previous research, we assume the weights to be private values known only to the respective agents. We present three different mechanisms which select, route and pay the agents in a truthful way that guarantees voluntary participation of the agents, while approximating the optimum energy consumption by a constant factor. To this end, we analyze a previous structural result and an approximation algorithm given in [Baertschi et al. 2017]. Finally, we show that for some instances in the case of a single package, the sum of the payments can be bounded in terms of the optimum.

Publication status

published

Book title

17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2017)

Journal / series

OpenAccess Series in Informatics (OASIcs)

Volume

59

Pages / Article No.

2

Publisher

Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Event

17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2017)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

delivery; agent; energy optimization; approximation mechanism; frugality

Organisational unit

03340 - Widmayer, Peter (emeritus) / Widmayer, Peter (emeritus) check_circle

Notes

Funding

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