Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network Article Swipe

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Wei Chong Ng , Wei Yang Bryan Lim , Jer Shyuan Ng , Suttinee Sawadsitang , Zehui Xiong , Dusit Niyato · YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1109/globecom46510.2021.9685988

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly advanced capabilities that can run applications enabled by machine learning techniques, which require computationally intensive operations such as matrix multiplications. Due to computation constraints, the UAVs can offload their computation tasks to edge servers. To mitigate stragglers, coded distributed computing (CDC) based offloading can be adopted. In this paper, we propose an Optimal Task Allocation Scheme (OTAS) based on Stochastic Integer Programming with the objective to minimize energy consumption during computation offloading. The simulation results show that amid uncertainty of task completion, the energy consumption in the UAV network is minimized.

Type

preprint

Language

en

Landing Page

https://doi.org/10.1109/globecom46510.2021.9685988

OA Status

green

Cited By

2

References

25

Related Works

20

OpenAlex ID

https://openalex.org/W3210375726

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