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Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approac...

Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_kth_346400

Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach

About this item

Full title

Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2024-04, Vol.13 (8), p.1592

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Unmanned aerial vehicles (UAVs) are becoming increasingly valuable as a new type of mobile communication device and autonomous decision-making device in many application areas, including the Internet of Things (IoT). UAVs have advantages over other stationary devices in terms of high flexibility. However, a UAV, as a mobile device, still faces some...

Alternative Titles

Full title

Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_DiVA_org_kth_346400

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_kth_346400

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics13081592

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