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A brinkmanship game theory model for competitive wireless networking environment

conference contribution
posted on 2019-11-26, 00:00 authored by Jahan HassanJahan Hassan, M Hassan, SK Das
Mobile handset manufacturers are introducing new features that allow a user to configure the same handset for seamless operation with multiple wireless network providers. As the competitiveness in thewireless network service market intensifies, such products will deliver greater freedom for the mobile users to switch providers dynamically for a better price or quality of experience. For example, when faced with an unexpected wireless link quality problem, the user could choose to physically switch the provider, or she could be more strategic and use her freedom of switching provider as a ‘psychological weapon’ to force the current provider upgrading the link quality without delay. In this paper, we explore the latter option where users threaten to quit the current provider unless he (the provider) takes immediate actions to improve the link quality. By threatening the provider, the user will have to accept the risk of having to disconnect from the current provider and reconnect to another in the middle of a communication session, should the provider defies the threat. The user therefore will have to carefully assess the merit of issuing such threats. To analyze the dynamics of this scenario, we formulate the problem as a brinkmanship game theory model. As a function of user’s and provider’s payoff or utility values, we derive conditions under which the user could expect to gain from adopting the brinkmanshipstrategy. The effect of uncertainties in payoff values are analyzed using Monte Carlo simulation, which confirms that brinkmanship can be an effective strategy under a wide range of scenarios. Since user threats must be credible to the provider for the brinkmanship model to work, we discuss possible avenues in achieving threat credibility in the context of mobile communications.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

120

End Page

127

Number of Pages

8

Start Date

2010-10-10

Finish Date

2010-10-14

ISSN

0742-1303

ISBN-13

9781424483891

Location

Denver, Co., USA

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

The University of Texas at Arlington; The University of New South Wales

Era Eligible

  • Yes

Name of Conference

35th IEEE Conference on Local Computer Networks (LCN 2010)

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