Socially Aware Multi-Resource Trading for IoT Applications in Smart Cities using Auction theory
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A4 Artikkeli konferenssijulkaisussa
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Date
2023
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Language
en
Pages
8
9-16
9-16
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Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023
Abstract
The availability of a large number of devices in the Internet of Things (IoT) allows us to carry out distributed applications in a collaborative fashion. This approach is especially beneficial in smart city scenarios, wherein different types of resources (i.e., for sensing and actuation, in addition to computation and storage) are key to providing effective location-based services. This article addresses sharing heterogeneous resources for IoT applications in smart cities. Specifically, it takes a gametheoretic approach and addresses the problem of allocating resources from different devices as a combinatorial double auction. Features specific to IoT devices, including their affinity (e.g., ownership and co-location), are leveraged to form groups that offer resource bundles with a certain reliability. The proposed solution incurs a low computational complexity and achieves several important economic properties: incentive compatibility, individual rationality, and a balanced budget. Simulations based on a large-scale dataset demonstrate that the combinatorial double auction is effective and can be completed in a short time.Description
Publisher Copyright: © 2023 IEEE.
Keywords
combinatorial auction, double auction, fog computing, Internet of Things, Resource sharing, smart cities
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Citation
Ranjbaran, S, Jafari, A R & Crespi, N 2023, Socially Aware Multi-Resource Trading for IoT Applications in Smart Cities using Auction theory . in Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 . IEEE, pp. 9-16, Conference on Cloud and Internet of Things, Lisbon, Portugal, 20/03/2023 . https://doi.org/10.1109/CIoT57267.2023.10084895