X
Xi Fang
Researcher at Arizona State University
Publications - 39
Citations - 7542
Xi Fang is an academic researcher from Arizona State University. The author has contributed to research in topics: Wireless network & Approximation algorithm. The author has an hindex of 23, co-authored 39 publications receiving 6875 citations.
Papers
More filters
Journal ArticleDOI
Smart Grid — The New and Improved Power Grid: A Survey
TL;DR: In this paper, the authors survey the literature till 2011 on the enabling technologies for the Smart Grid and explore three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Smart Grid - The New and Improved Power Grid:
TL;DR: This article surveys the literature till 2011 on the enabling technologies for the Smart Grid, and explores three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system.
Proceedings ArticleDOI
Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing
TL;DR: This work designs an auction-based incentive mechanism for mobile phone sensing that is computationally efficient, individually rational, profitable, and truthful, and shows how to compute the unique Stackelberg Equilibrium, at which the utility of the platform is maximized.
Journal ArticleDOI
Incentive mechanisms for crowdsensing: crowdsourcing with smartphones
TL;DR: This work designs an auction-based incentive mechanism for crowdsensing, which is computationally efficient, individually rational, profitable, and truthful, and shows how to compute the unique Stackelberg Equilibrium, at which the utility of the crowdsourcer is maximized.
Journal ArticleDOI
Coping with a Smart Jammer in Wireless Networks: A Stackelberg Game Approach
TL;DR: This paper proves the existence and uniqueness of the Stackelberg Equilibrium (SE) by giving closed-form expressions for the SE strategies of both the user and the player and designs algorithms for computing the jammer's best response strategy and approximating the user's optimal strategy.