L\u27Europe et la conservation des oiseaux dans les DOM

Deuxième rencontre des jeudis de l\u27université 2012-2013 basée sur la biodiversité. Une conférence centrée sur "L?Europe et la conservation des oiseaux dans les DOM". Plusieurs questions sont abordées dont le programme de LIFE + CAP DOM, comment préserver les espèces menacées ? et les résultats des recherches."Deuxième rencontre des jeudis de l\u27université 2012-2013 basée sur la biodiversité. Une conférence centrée sur "L\u27Europe et la conservation des oiseaux dans les DOM". Plusieurs questions sont abordées dont le programme de LIFE + CAP DOM, comment préserver les espèces menacées ? et les résultats des recherches.

Distributed diagnosis over wireless sensors networks

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Towards efficient deployment of wireless sensor networks

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Impact of Application Layers over Wireless Sensor Networks

International audienceApplications overW ireless Sensor Networks (WSNs) are various and different. Manyr outing protocols have been proposed for WSNs since am anyy ears. Medium Access Control (MAC) protocols can differ from anetwork to another.T he transmission range can also be variable from as ensor to another depending on their battery capacities. All these various protocols have an influence on the WSNs. It is worthytochoose the appropriate protocol for each specific situation in order to ensure high security of the network. In this paper,weshowthat the type of applications has areal impact on WSN. Indeed , each kind of application with aspecific routing protocol, MAClayer and transmission range value impact on security of network in terms of packets lost rate. We have undertaken aset of experimentations in order to showthe importance of an appropriate configuration to deployaWSN with ahigh security confidence degree. Forthe application layer,wehavehandled three types of applications. Forthe routing layer,wehavehandled only with AOMDVprotocol. ForMAC layer we use 802.15.4 protocols. We have conducted manysimulations through the NS-2 simulator in order to analyze one relevant security indicators on WSNs: lost packet rate. 1I ntroduction AWSN is mainly composed of twotypes of components: resource constrained independent nodes (sensors) and high resourced sink nodes (base stations). Anode in anetwork communicates with each other through awireless medium, where the communication energy is greater than the computational energy.I na ddition to that, the energy required to transmit am essage is twice higher than the energy required for receiving am essage. In the same time, the route of anymessage sent to base stations is achallenging issue about anetwork lifetime for manyreasons. If we use the shortest routes where some nodes have small capacity batteries, we may reduce the network lifetime. If we use longer routes with manynodes, we will surely increase the network delays. Forthese reasons, routing objec-tivesare, in general, conducted by higher applications: streaming video applications need longer network lifetime butfire monitoring applications need faster response time. Va ri-ous routing mechanisms have been proposed for different applications. Theyare different according to their routing objectivesand routing techniques. As said below, the network features will guide to choose adequate routing techniques. The IEEE 802.15.4 standard offers the most common communication protocols for the MACa nd the physical (PHY) 13

Impact of transmission range in 802.15.4 with usual routing protocols.

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Classification of usual protocols over Wireless Sensor Networks

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A distributed power management optimisation in wireless sensors networks

This paper presents a study on power management optimisation over a sensor network. We have proposed a set of management rules which are executed by each sensor of the network. These rules adapt themselves to sensors depending on their energy status and on the network energy. Periodically, each sensor computes its rules and decides how to behave (sleeping during a long period or not). An experimentation of these rules has been implemented, we used a distributed sort algorithm on the whole network. We have observed the network behaviour and noticed that the use of these rules allows to increase the average energy life up to 20 %

Simulation of Large Scale WSN for Medical Care

International audienceThe aim of this study is to perform a simulation of large scale Wireless Sensor Networks (WSN) working on medical diagnosis. The main feature of this WSN is its density and the fact that all sensors are in the same radio range. Our approach helps medical staff to diagnose diseases in an automatic way. In this context, each patient is equipped to a set of sensors. Each sensor is connected to a transducer dedicated to measure a specific health parameter . This WSN will perform some computations and run an alarm when some diseases are suspected. This technique is based on the population protocol to handle data exchanged between sensors. This approach is in fact an efficient distributed algorithm which implies that the diagnose may be done by any sensor dealing with the disease detection. The main result of this paper is: the method supports large scalability which proves its practicability for real cases