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Katia Jaffrès-Runser
Researcher at University of Toulouse
Publications - 89
Citations - 1073
Katia Jaffrès-Runser is an academic researcher from University of Toulouse. The author has contributed to research in topics: Wireless network & Wireless sensor network. The author has an hindex of 16, co-authored 87 publications receiving 932 citations. Previous affiliations of Katia Jaffrès-Runser include University of Lyon & French Institute for Research in Computer Science and Automation.
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Deterministic Approach for Fast Simulations of Indoor Radio Wave Propagation
TL;DR: The new approach proposed herein is based on a finite difference formalism, i.e., the transmission line matrix (TLM), which provides an exact solution for the linear system whilst significantly reducing the computational complexity when compared with the time domain approach.
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Beyond traditional DTN routing: social networks for opportunistic communication
TL;DR: A survey of current routing solutions is presented, where routing protocols for opportunistic networks are classified based on the network graph employed and the need to capture performance trade-offs from a multi-objective perspective is highlighted.
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QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks
TL;DR: A novel Q-learning based Multi-objective optimization Routing protocol for FANETs to provide low-delay and low-energy service guarantees and a new exploration and exploitation mechanism is proposed to explore some undiscovered potential optimal routing path while exploiting the acquired knowledge.
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Spectral and Energy Efficiency Trade-offs in Cellular Networks
TL;DR: This paper presents a simple and effective method to study the spectral and energy efficiency (SE-EE) trade-off in cellular networks, an issue that has attracted significant recent interest in the wireless community.
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Wikipedia mining of hidden links between political leaders
TL;DR: In this article, a reduced Google matrix method is proposed to establish direct and hidden links between a subset of nodes of a large directed network, based on quantum scattering theory, developed for processes in nuclear and mesoscopic physics and quantum chaos.