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Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network...

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6183fb4d1d7d486f8d39e88b102adb8c

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

About this item

Full title

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4377

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Unmanned aerial vehicles (UAVs) are widely used in Internet-of-Things (IoT) networks, especially in remote areas where communication infrastructure is unavailable, due to flexibility and low cost. However, the joint optimization of locations of UAVs and relay path selection can be very challenging, especially when the numbers of IoT devices and UAV...

Alternative Titles

Full title

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6183fb4d1d7d486f8d39e88b102adb8c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6183fb4d1d7d486f8d39e88b102adb8c

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14174377

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