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A Shapley Value-based Strategy for Resource Allocation in Vehicular Clouds

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Author(s):
Ribeiro, Aguimar, Jr. ; Rocha Filho, Geraldo P. ; Guidoni, Daniel L. ; De Grande, Robson E. ; Sampaio, Sandra ; Meneguette, Rodolfo I. ; IEEE
Total Authors: 7
Document type: Journal article
Source: 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022); v. N/A, p. 6-pg., 2022-01-01.
Abstract

The continuous emergence of new applications for Internet-connected road vehicles is imposing unprecedented resource demand. Motivated by the incorporation of ever more resources into vehicles, this is a trend that, on the downside, is causing vehicular networks to become increasingly more challenging to manage. Departing from the proposition that computing capabilities can help overcome resource allocation problems in vehicular clouds (VCs), in this paper, we formulate ALTAIC, a coalition game to maximize resource utilization while dynamically load-balancing the usage among the VCs. First, we define a Shapley value-based strategy to determine the order in which the tasks are allocated. Then, with the marginal contribution of each task calculated, we employ a simple queue to allocate the tasks in VCs using these values. Finally, we conduct a comparative performance analysis of ALTAIC and relevant approaches. Simulation results show that the proposed solution allocates more tasks than the others and reduces 27.12% the load average of the VCs. (AU)

FAPESP's process: 21/06210-3 - Urban spaces-aware services via federated learning in intelligent transport systems
Grantee:Geraldo Pereira Rocha Filho
Support Opportunities: Regular Research Grants
FAPESP's process: 20/07162-0 - Services for an intelligent transport system
Grantee:Rodolfo Ipolito Meneguette
Support Opportunities: Regular Research Grants
FAPESP's process: 20/05126-6 - Algorithms and protocols for intelligent transportation systems
Grantee:Daniel Ludovico Guidoni
Support Opportunities: Regular Research Grants
FAPESP's process: 22/00660-0 - Dynamic resource management for intelligent transportation system applications
Grantee:Rodolfo Ipolito Meneguette
Support Opportunities: Regular Research Grants