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Titlebook: Contract Theory for Wireless Networks; Yanru Zhang,Zhu Han Book 2017 Springer International Publishing AG 2017 Contract theory.Adverse sel

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楼主: patch-test
发表于 2025-3-23 10:51:51 | 显示全部楼层
https://doi.org/10.1007/978-3-540-33455-2Owing to the wide adoption of smart devices and fast development of the Internet, various applications and services have been introduced to bring convenience to every aspect of our daily lives; at the same time, this has brought great changes and new challenges to the design and operation of wireless networks.
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Visual Perception and Robotic ManipulationThe proliferation of highly capable mobile devices, such as smartphones and tablets, coupled with the introduction of resource demanding mobile services has exponentially increased the demand for wireless access.
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System Integration and Experimental Results,In the previous chapter, the . problem in mobile crowdsourcing is between one employer (the principal) and one employee (the user).
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Springer Tracts in Advanced RoboticsIn the previous two chapters, we have discussed two applications by using different . models. In this chapter, a multi-dimension reward model will be given to design-efficient payment plan in wireless networks. The rapid developments of cloud computing have brought a centralized solution to application developers and content providers.
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Visual Perception and Robotic ManipulationAfter discussing the applications of the two basic problems, . and ., we now proceed to the mixed problem in wireless networks when both are present. The recent popularity of handheld mobile devices, such as smartphones, enables the interconnectivity among mobile users without the support of Internet infrastructure.
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Visual Perception and Robotic ManipulationIn this book, we have provided the contract theory framework for wireless networking, which has been sequentially awarded with the Nobel Prize in economics science for 2014 and 2016.
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Tournament-Based Incentive Mechanism Designs for Mobile Crowdsourcing,In the previous chapter, the . problem in mobile crowdsourcing is between one employer (the principal) and one employee (the user).
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