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Crowdsensing has been widely recognized as a promising paradigm for numerous applications in mobile networks. To realize the full benefit of crowdsensing, one fundamental challenge is to incentivize users to participate. In this paper, we leverage social trust assisted reciprocity (STAR), a synergistic marriage of social trust and reciprocity, to develop an incentive mechanism in order to stimulate...
In this paper, short-term forecast of wind farm generation is investigated by applying spatio-temporal analysis to extensive measurement data collected from a large wind farm where multiple classes of wind turbines are installed. Specifically, using the data of the wind turbines' power outputs recorded across two consecutive years, graph-learning based spatio-temporal analysis is carried out to characterize...
Integrating a large amount of wind energy into the bulk power grid has put forth great challenges for operations planning and system reliability. In particular, a complication that arises is that wind generation is highly variable (stochastic) and non-dispatchable, thus making it difficult to guarantee that the load and generation remain balanced at each instant. This uncertainty of wind generation...
This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal combination of flat-rate and usage-based access price components for maximization of ISP revenue, subject to a capacity constraint on the data-rate demand. Next, we consider time-varying consumer utilities for broadband data rates that...
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