Paper Info
Title
Privacy preserving distributed matching for device-to-device IoT communications: poster
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.
Year
DOI
Venue
2019
10.1145/3317549.3326309
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks
Keywords
Field
DocType
device-to-device (D2D) communication, internet-of-things (IoT), matching theory, privacy
Base station,Device to device,Computer science,Internet of Things,Computer network,Resource allocation,Interference (wave propagation),Cellular network,Throughput
Conference
ISBN
Citations 
PageRank 
978-1-4503-6726-4
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Eyuphan Bulut135130.97
Ismail Güvenç22041153.03
Kemal Akkaya32825178.70