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On Shortest Random Walks under Adversarial Uncertainty

Published

Author(s)

Vladimir V. Marbukh

Abstract

Finding shortest feasible paths in a weighted graph has numerous applications including admission and routing in communication networks. This paper discusses a game theoretic framework intended to incorporate a concept of path stability into the process of shortest path selection. Route stability is an important issue in a wire-line and especially in wireless network due to node mobility as well as limited node reliability and power supply. The framework assumes that the link weights are selected within certain ¿confidence intervals¿ by an adversary or set of adversaries. The width of the confidence interval for the path weight represents the path stability. One of the immediate benefits of this framework is justification for randomized routing interpreted as a mixed Nash equilibrium strategy in the corresponding game. To demonstrate a wide range of possible applications of the proposed framework the paper briefly discusses possible application to robust traffic engineering.
Proceedings Title
Proceedings of the 40th Allerton Conference on Communications, Control, & Computing
Volume
40
Issue
No. 2
Conference Dates
October 1, 2002
Conference Title
(Champaign, Illinois)

Keywords

shortest random walks, weighted graph

Citation

Marbukh, V. (2003), On Shortest Random Walks under Adversarial Uncertainty, Proceedings of the 40th Allerton Conference on Communications, Control, & Computing, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50726 (Accessed May 21, 2024)

Issues

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Created May 1, 2003, Updated February 19, 2017