2021
DOI: 10.1016/j.adhoc.2021.102626
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An incentive mechanism based on a Stackelberg game for mobile crowdsensing systems with budget constraint

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Cited by 22 publications
(2 citation statements)
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“…Obviously, "DL" is strongly related to the "neural network" in machine learning, and "neural network" is also its main algorithm and method. "DL" is called an "improved neural network" algorithm (Kumar et al, 2020;Sedghani et al, 2021). We present the theoretical model in Figure 1.…”
Section: Construction Of Game Performance Improvement Model Based On DLmentioning
confidence: 99%
“…Obviously, "DL" is strongly related to the "neural network" in machine learning, and "neural network" is also its main algorithm and method. "DL" is called an "improved neural network" algorithm (Kumar et al, 2020;Sedghani et al, 2021). We present the theoretical model in Figure 1.…”
Section: Construction Of Game Performance Improvement Model Based On DLmentioning
confidence: 99%
“…Game theory methods, specially Stackelberg game and auction mechanism are the most common way to incentivize the users to run the sensing tasks and receive a reward in return. An incentive mechanism based on Stackelberg game has been proposed in [29], where the MCS platform estimates the users' utility function parameters and solves the optimization problem of the game in a centralized manner instead of exchanging a lot of messages in distributed methods.…”
Section: A Incentive Mechanisms In Mcsmentioning
confidence: 99%