Privacy preserving distributed matching for device-to-device IoT communications: poster
Pages 316 - 317
Abstract
Device-to-device (D2D) communication enables machine-type devices (MTD) in Internet-of-Things (IoT) network communicate directly with each other and offload the cellular network. However, it may introduce interference as they share the same spectrum with the other devices that are directly connected to the base station. In this study, we look at the problem of assigning D2D communicating IoT pairs to the IoT devices that are directly connected to the base station such that the overall system throughput is not only maximized but also a stable matching is obtained. Different than previous work, we study many-to-one matching and propose a distributed privacy preserving stable matching process for efficient resource allocation without releasing location information.
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Index Terms
- Privacy preserving distributed matching for device-to-device IoT communications: poster
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Published In
May 2019
359 pages
ISBN:9781450367264
DOI:10.1145/3317549
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 15 May 2019
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WiSec '19
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WiSec '19: 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks
May 15 - 17, 2019
Florida, Miami
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Overall Acceptance Rate 98 of 338 submissions, 29%
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