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348 results on '"Michel Kieffer"'

3. Robust Interval-Based Localization Algorithms for Mobile Sensor Networks

Author

Farah Mourad, Hichem Snoussi, Michel Kieffer, and Cédric Richard

Subjects
Electronic computers. Computer science, QA75.5-76.95
Abstract

This paper considers the localization problem in mobile sensor networks. Such a problem is a challenging task, especially when measurements exchanged between sensors may contain outliers, that is, data not matching the observation model. This paper proposes two algorithms robust to outliers. These algorithms perform a set-membership estimation, where only the maximal number of outliers is required to be known. Using these algorithms, estimates consist of sets of boxes whose union surely contains the correct location of the sensor, provided that the considered hypotheses are satisfied. This paper proposes as well a technique for evaluating the number of outliers to be robust to. In order to corroborate the efficiency of both algorithms, a comparison of their performances is performed in simulations using Matlab.

Published
2011
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27. An Energy-Efficient Power Allocation Game with Selfish Channel State Reporting in Cellular Networks

Author

François, Mériaux, Stefan, Valentin, Samson, Lasaulce, and Michel, Kieffer

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Computer Science and Game Theory
Abstract

With energy-efficient resource allocation, mobile users and base station have different objectives. While the base station strives for an energy-efficient operation of the complete cell, each user aims to maximize its own data rate. To obtain this individual benefit, users may selfishly adjust their Channel State Information (CSI) reports, reducing the cell's energy efficiency. To analyze this conflict of interest, we formalize energy-efficient power allocation as a utility maximization problem and present a simple algorithm that performs close to the optimum. By formulating selfish CSI reporting as a game, we prove the existence of an unique equilibrium and characterize energy efficiency with true and selfish CSI in closed form. Our numerical results show that, surprisingly, energy-efficient power allocation in small cells is more robust against selfish CSI than cells with large transmit powers. This and further design rules show that our paper provides valuable theoretical insight to energy-efficient networks when CSI reports cannot be trusted., Comment: In Proceedings of the 6th International Conference on Performance Evaluation Methodologies and Tools (Valuetools), Oct. 2012, Carg\`ese, France

Published
2012

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