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A Game Theory Based Efficient Computation Offloading in an UAV Network
- Source :
- IEEE Transactions on Vehicular Technology, IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2019, 68 (5), pp.4964-4974. ⟨10.1109/TVT.2019.2902318⟩
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- International audience; Recently, solutions based on mobile edge computing paradigm have been widely discussed in academia and industry. This paradigm offers solutions to address limitations, in terms of battery lifetime and processing power, of mobile and constrained devices. Despite the ever-increasing capabilities of these devices, resource requirements of applications can often transcend what is available within a single device. Offloading intensive computation tasks to a distant server can help applications reach their desired performances. In this work, we tackle the problem of offloading heavy computation tasks of unmanned aerial vehicles (UAVs) while achieving the best possible tradeoff between energy consumption, time delay, and computation cost. We focus on a scenario of a fleet of small UAVs performing an exploration mission. During their mission, these constrained devices have to carry-out highly intensive computation tasks such as pattern recognition and video preprocessing. We formulate the problem using a non-cooperative theoretical game with N players and three pure strategies. We provide a comprehensive proof for the existence of a Nash equilibrium and implement accordingly a distributed algorithm that converges to such an equilibrium. Extensive simulations are performed in order to provide thorough results and assess the performances of the approach compared to three other models. Results show that our algorithm outperforms all the three approaches. Our approach achieved in average about 19%, 58%, and 55% better results compared to local computing, offloading to the edge server, and offloading to base station, respectively.
- Subjects :
- Computer Networks and Communications
Computer science
Distributed computing
Aerospace Engineering
Servers
Cloud computing
02 engineering and technology
[SPI]Engineering Sciences [physics]
Base station
symbols.namesake
Server
non-cooperative game
0202 electrical engineering, electronic engineering, information engineering
Computation offloading
computation offloading problem
Delays
Electrical and Electronic Engineering
Drones
Mobile edge computing
business.industry
Computational modeling
020206 networking & telecommunications
Energy consumption
Nash equilibrium
Distributed algorithm
Task analysis
Automotive Engineering
symbols
020201 artificial intelligence & image processing
unmanned areal vehicles (UAVs)
Games
business
Game theory
pure-strategies
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....88bfcf295ff815d5bb3332fdfa613e91