Optimal Task Offloading and Trajectory Planning Algorithms for Collaborative Video Analytics With UAV-Assisted Edge in Disaster Rescue

Researchers have designed UAV-enabled edge servers (UES) to assist smart cameras (ECs) and optimize video analytics performance. However, most prior research neglects the impact of ECs' battery constraint on the system performance, especially in disaster scenarios. In this study, we introduce a...

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Vydáno v:	IEEE transactions on vehicular technology Ročník 73; číslo 5; s. 6811 - 6828
Hlavní autoři:	Sun, Hui, Zhang, Xiuye, Zhang, Bo, Sha, Kewei, Shi, Weisong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Autonomous aerial vehicles Batteries Computation offloading Deep learning Disasters Discrete time systems double deep q-learning Edge computing Energy conservation Energy consumption Evolutionary algorithms Flight Hovering Machine learning Markov processes Optimization Q-learning Resource management Scheduling Task analysis task scheduling Trajectory Trajectory planning Unmanned aerial vehicles
ISSN:	0018-9545, 1939-9359
On-line přístup:	Získat plný text
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