A PDDQNLP Algorithm for Energy Efficient Computation Offloading in UAV-assisted MEC

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is a promising technology to provide computational services to ground terminal devices (TDs) in remote areas or for emergency incidents with its flexibility and mobility. This paper aims to maximize the UAV's energy efficiency w...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on wireless communications Ročník 22; číslo 12; s. 1
Hlavní autoři:	Lin, Na, Tang, Hailun, Zhao, Liang, Wan, Shaohua, Hawbani, Ammar, Guizani, Mohsen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Computation offloading Computational modeling Decisions Edge computing Energy consumption Energy efficiency Flight time Linear programming MEC Mixed integer Mobile computing Nonlinear programming Optimization PDDQN Resource management Throughput time optimization Trajectories Trajectory UAV Unmanned aerial vehicles
ISSN:	1536-1276, 1558-2248
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!