T
Tahiry Razafindralambo
Researcher at University of La Réunion
Publications - 73
Citations - 1653
Tahiry Razafindralambo is an academic researcher from University of La Réunion. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 18, co-authored 71 publications receiving 1471 citations. Previous affiliations of Tahiry Razafindralambo include French Institute for Research in Computer Science and Automation & university of lille.
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A survey on facilities for experimental internet of things research
Alexander Gluhak,Srdjan Krco,Michele Nati,Dennis Pfisterer,Nathalie Mitton,Tahiry Razafindralambo +5 more
TL;DR: This article identifies requirements for the next generation of IoT experimental facilities, while providing a taxonomy, and survey currently available research testbeds, identify existing gaps, and suggest new directions based on experience from recent efforts in this field.
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Optimal drone placement and cost-efficient target coverage
TL;DR: This work introduces the minimum cost drone location problem and its solutions for this task in a two-dimensional terrain by defining an integer linear and a mixed integer non-linear optimization models.
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Energy efficient mobile target tracking using flying drones
TL;DR: This paper simulates LAS and shows that LAS performs similar to the centralized algorithm, while it outperforms the static approach by up to 150% in terms of consumed energy and is very sustainable in presence of communication errors.
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Modelling the mobile target covering problem using flying drones
TL;DR: This paper addresses the mobile targets covering problem by using unmanned aerial vehicles (UAVs) by defining mixed integer non-linear optimization models and heuristics based on restricted mixed integer programming (MIP) formulation of the problem.
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A survey on rapidly deployable solutions for post-disaster networks
TL;DR: This work surveys the solutions proposed to address the deployment of a network without any a priori knowledge about the communication environment for critical communications to allow for quick, flexible, scalable, and resilient deployment with minimal human intervention.