Secrecy Energy Efficiency Enhancement in UAV-Assisted MEC System.

Jiansong Miao, Haoqiang Chen, Hairui Li, Shanling Bai

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jiansong MiaoSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Haoqiang ChenSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Hairui LiSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Shanling BaiSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming UAV based on the channel conditions. To ensure the security of the content and the system energy efficiency in the process of offloading computing tasks, the UAV trajectory, uplink transmit power, user scheduling, and offload task are jointly optimized, and an updated-rate assisted block coordinate descent (BCD) algorithm is used. Simulation results show that this scheme efficiently improves the secrecy performance and energy efficiency of the system. Compared with the benchmark scheme, the secrecy energy efficiency of the scheme is improved by 38.5%.

Indexed as

Conservation of Energy ResourcesUnmanned Aerial DevicesAlgorithmsBenchmarkingComputer Simulationconvex optimization algorithmmobile edge computingsecrecy energy efficiencyunmanned aerial vehicle communication

Identifiers

PMID36679520

DOI10.3390/s23020723

PMCPMC9864342

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.