Mobile-Edge Computing and Internet of Things for Consumers: Part II: Energy efficiency, connectivity, and economic development

2017 ◽  
Vol 6 (1) ◽  
pp. 51-52 ◽  
Author(s):  
Peter Corcoran ◽  
Soumya Kanti Datta
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Internet Of Things ◽  
Edge Computing ◽  
Mobile Edge Computing

Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information

2017 ◽  
Vol 35 (11) ◽  
pp. 2606-2615 ◽  
Author(s):  
Xinchen Lyu ◽  
Wei Ni ◽  
Hui Tian ◽  
Ren Ping Liu ◽  
Xin Wang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Partial Information ◽  
Optimal Schedule ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Tolerable Data Transmission of Mobile Edge Computing Under Internet of Things

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 71859-71871
Author(s):  
Jianwei Liu ◽  
Xianglin Wei ◽  
Jianhua Fan
Keyword(s):  
Internet Of Things ◽  
Data Transmission ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Multistrategy Repeated Game-Based Mobile Crowdsourcing Incentive Mechanism for Mobile Edge Computing in Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Chuanxiu Chi ◽  
Yingjie Wang ◽  
Yingshu Li ◽  
Xiangrong Tong
Keyword(s):  
Game Theory ◽  
Internet Of Things ◽  
Incentive Mechanism ◽  
Repeated Game ◽  
Edge Computing ◽  
Quality Data ◽  
Mobile Edge Computing ◽  
High Quality ◽  
Mobile Crowdsourcing

With the advent of the Internet of Things (IoT) era, various application requirements have put forward higher requirements for data transmission bandwidth and real-time data processing. Mobile edge computing (MEC) can greatly alleviate the pressure on network bandwidth and improve the response speed by effectively using the device resources of mobile edge. Research on mobile crowdsourcing in edge computing has become a hot spot. Hence, we studied resource utilization issues between edge mobile devices, namely, crowdsourcing scenarios in mobile edge computing. We aimed to design an incentive mechanism to ensure the long-term participation of users and high quality of tasks. This paper designs a long-term incentive mechanism based on game theory. The long-term incentive mechanism is to encourage participants to provide long-term and continuous quality data for mobile crowdsourcing systems. The multistrategy repeated game-based incentive mechanism (MSRG incentive mechanism) is proposed to guide participants to provide long-term participation and high-quality data. The proposed mechanism regards the interaction between the worker and the requester as a repeated game and obtains a long-term incentive based on the historical information and discount factor. In addition, the evolutionary game theory and the Wright-Fisher model in biology are used to analyze the evolution of participants’ strategies. The optimal discount factor is found within the range of discount factors based on repeated games. Finally, simulation experiments verify the existing crowdsourcing dilemma and the effectiveness of the incentive mechanism. The results show that the proposed MSRG incentive mechanism has a long-term incentive effect for participants in mobile crowdsourcing systems.

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