Everlasting sensor networks

Poster for " L'énergie demain. Transition énergétique : recherches et ingénierie " symposium. May 30-31, 2013, MINES ParisTechWithin the team CSAM (Circuits, Systèmes et Applications des Microondes) of IEMN (Institut d'Électronique, de Microélectronique et de Nanotechnologie) and within IRCICA (Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - USR CNRS 3080) we develop a research on ultra low power sensor networks. Our goal is to minimize the energy consumption so that the life duration of the network could be infinitely long. We develop studies including nanotechnologies (energy harvesting, storage devices), RF front-ends design, energy management but also radio channel and interference modeling and MAC layer optimization

Plateforme matériel/logiciel pour l’optimisation de l’énergie sur un nœud de réseaux de capteurs sans fil

L'incroyable augmentation d'objets connectés dans le monde de l'Internet des Objets impliquera plusieurs problèmes. L'efficacité énergétique est un des principaux. Le présent travail étudie l'efficacité énergétique et, plus précisément, la modélisation de l'énergie consommée par le nœud.Nous avons créé une plateforme matérielle et logicielle appelée Synergie. Cette plateforme est composée d'un ensemble d'outils matériel/logiciel :- un dispositif de mesure de la consommation d'énergie;- un algorithme qui crée automatiquement un modèle de la consommation de l'énergie;- un estimateur de la durée de vie du nœud.La plateforme des mesures de l'énergie récupère les valeurs de courant directement du nœud. Ces courants sont mesurés composant par composant du circuit et fonction par fonction du logiciel embarqué. Cette analyse matérielle/logicielle offre information sur le comportement de chaque composant.Un algorithme crée automatiquement un modèle de la consommation énergétique basé sur une chaîne de Markov. Ce modèle est une représentation stochastique du comportement énergétique du nœud en fonctionnement in situ. Le nœud fonctionne dans un réseau réel et dans des conditions réelles de canal.Finalement, une estimation de la durée de vie du nœud est réalisée en utilisant des modèles de batterie. L'estimation est possible grâce au caractère stochastique du modèle de la consommation. La possibilité de simplement changer les paramètres de consommation pour améliorer la durée de vie est présentée.Ce travail représente la première étape d'un projet global qui a pour but obtenir des réseaux de capteurs sans fil autonomes en énergie.The significant increase of connected objects in Internet of Things will entail different problems. Among them, the energy efficiency. The present work deals with the energy efficiency and more precisely with the study of the modeling of the energy consumption in the node.We have designed a platform to instrument a node of wireless sensor network in its real environment. The hardware and software platform is made of:- a hardware energy measurement platform;- a software allowing the automatic generation of an energy consumption model;- a node lifetime estimation algorithm.The energy measurement platform recovers the current values directly from the node under evaluation, component per component in the electronic circuit and function per function of the embedded software. This hardware/software analysis of the energy consumption offers important information about the behavior of each electronic component in the node.An algorithm carries out a statistical analysis of the energy measurements. This algorithm creates automatically an energy consumption model based on a Markov chain. Thus, this platform allows to create a stochastic model of the energy behavior of a real node, in a real network and in real channel conditions. The model is made in contrast to the deterministic energy models found in the literature, whose energy behavior is extracted from the datasheets of the components. Finally, we estimate the node lifetime based on battery models. We also show on examples the simplicity to change some parameters of the model in order to improve the energy efficiency

Experimental Evaluation of Interference Impact on the Energy Consumption in Wireless Sensor Networks

International audienceIn the era of Internet of Things (IoT), the development of Wireless Sensor Networks (WSN) arises different challenges. Two of the main issues are electromagnetic interference and the lifetime of WSN nodes. In this paper, we show and evaluate experimentally the relation between interference and energy consumption, which impacts the network lifetime. We present a platform based on commercially available low-cost hardware in order to evaluate the impact of electromagnetic interference in 2.4 GHz ISM band on energy consumption of WSN. The energy measurements are obtained separately from each electronic component in the node. Interference and energy measurements are conducted in an anechoic chamber and in an office-type lab environment. X-MAC protocol is chosen to manage the Radio Duty Cycle of the nodes and its energy performance is evaluated. The energy consumption transmitter nodes is analyzed particularly in this work. Moreover, this energy consumption has been quantified and differentiated according to the number of (re-)transmissions carried out by the transmitter as well as the number of ACK packets sent by the receiver for a single packet. Finally, we use a model of real battery to calculate the lifetime of the node for operation within different interference level zones. This study lays the basis for further design rules of communication protocols and development of WSNs

Performance evaluation of LoRa radio solution for PREDNET wildlife animal tracking project

International audiencePerformance evaluation of LoRa radio solution is provided based on coverage simulations and range tests. The full version of abstract is attached

Six novel Micromonospora species associated with the phyllosphere and roots of leguminous plants: Micromonospora alfalfae sp. nov., Micromonospora cabrerizensis sp. nov., Micromonospora foliorum sp. nov., Micromonospora hortensis sp. nov., Micromonospora salmantinae sp. nov., and Micromonospora trifolii sp. nov

13 páginas, 4 figuras, 2 tablasSix actinobacterial strains isolated from diverse legume tissues collected in various locations in Spain were characterized to determine their taxonomic status. Using 16S rRNA gene sequencing, the strains were primarily identified as members of the genus Micromonospora with more than 99 % similarity. Digital DNA-DNA hybridization values and average nucleotide identities between the six strains and the nearest type strains confirmed that each strain represented a novel species. Genome sequences were analysed to infer their metabolic profiles, their potential to produce secondary metabolites and plant growth promoting features. Chemotaxonomic and physiological studies were carried out to complete the phenotypic characterization and to distinguish the new Micromonospora species. The genomic and phenotypic characterization of the Micromonospora strains strongly support their classification as representatives of new species with the following names: Micromonospora alfalfae sp. nov., Micromonospora cabrerizensis sp. nov., Micromonospora foliorum sp. nov., Micromonospora hortensis sp. nov., Micromonospora salmantinae sp. nov. and Micromonospora trifolii sp. nov., with the type strains MED01T, LAH09T, PSH25T, NIE111T, PSH03T and NIE79T, respectively.This research was supported by the Spanish Ministry of Sciences, Innovation and Universities (MICINN) under project PGC2018-096185-B-I00 to M.E.T.Peer reviewe

Protocolo de atención al niño-a y al adolescente con diabetes en la escuela

Protocolo en el que se establecen las medidas necesarias para garantizar el control de la diabetes mellitus y la seguridad de los niños y adolescentes que la padecen en el centro educativo. Tras definir qué es la diabetes y el ámbito de aplicación de este protocolo se especifican las funciones de los agentes implicados en su cumplimiento (comunidad educativa, personal sanitario, administraciones y entidades del entorno social), las estrategias de abordaje del niño o adolescente con diabetes en la escuela y se establece el sistema de seguimiento y evaluación del protocolo.ExtremaduraConsejería de Sanidad y Dependencia; Calle Adriano, 4; 06800 Mérida (Badajoz); +34924004197; +34924004122; [email protected]