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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Game-theoretic algorithm for interdependent infrastructure network restoration in a decentralized environment.

Alireza Rangrazjeddi¹, Andrés D González¹, Kash Barker¹

¹School of Industrial and Systems Engineering, University of Oklahoma, Norman, Oklahoma, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis

|January 4, 2024

Summary

This summary is machine-generated.

This study proposes a decentralized game theory algorithm for optimizing interdependent infrastructure network restoration after disasters. It addresses multiple decision-makers with differing goals, moving beyond centralized approaches for more realistic post-disaster recovery.

Keywords:

Nash equilibria decentralized decision‐making game theory interdependent infrastructure network

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Area of Science:

Systems Engineering
Network Science
Game Theory

Background:

Interdependent infrastructure networks are crucial for societal function.
Network failures can propagate, leading to cascading failures and performance loss.
Conventional restoration models focus on centralized optimization, which differs from real-world decentralized decision-making by infrastructure utilities.

Purpose of the Study:

To address the challenge of multiple decision-makers with diverse payoff functions in interdependent network restoration.
To develop a decentralized algorithm for network restoration in post-disaster scenarios.
To find Nash equilibria solutions in a decentralized restoration environment.

Main Methods:

A decentralized game theory algorithm was proposed.
The algorithm focuses on finding Nash equilibria.
This approach models the decision-making of multiple, independent infrastructure utilities.

Main Results:

The study provides a framework for decentralized decision-making in network restoration.
It identifies Nash equilibria as solutions in a multi-agent restoration context.
This method accounts for individual utility reward functions.

Conclusions:

Decentralized approaches are more representative of real-world post-disaster infrastructure restoration.
Game theory offers a viable method for optimizing restoration with multiple decision-makers.
The proposed algorithm facilitates more effective and realistic network recovery strategies.