In view of the problem of uneven load distribution and energy consumption among nodes in a multi-hop wireless sensor network, this research constructs the routing schedule problem as a MOP (Multi-objective Optimization Problem), and proposed an energy-aware routing optimization scheme RDSEGA based on multi-objective optimization. In this scheme, in order to avoid the searching space explosion problem caused by the increase of nodes, KSP Yen's algorithm was applied to prune the searching space, and the candidate paths selected after pruning are recoded based on priority. Then adopted the improved strengthen elitist genetic algorithm to get the entire network routing optimization scheme with the best energy efficiency. At the same time, in view of the problem of routing discontinuity in the process of path crossover and mutation, new crossover and mutation method was proposed that based on the gene fragments connected by the adjacent node or the same node to maximize the effectiveness of the evolution result. The experimental results prove that the scheme reduced the energy consumption of nodes in the network, the load between nodes becomes more balanced, and the working time of the network has been prolonged nearly 40% after the optimization. This brings convenience to practical applications, especially for those that are inconvenient to replace nodes.

L'évaluation clinique des patients hémiparétiques, avant et après un traitement, est une étape indispensable dans la prise en charge de leurs troubles de la marche. L’analyse tridimensionnelle quantifiée de la marche (AQM) permet de mesurer à chaque instant du cycle de marche différent paramètres. Néanmoins l’AQM est effectuée dans un environnement clinique forcément différent d’un environnement réel. Ce qui constitue donc une limite dans l’interprétation des résultats obtenus avec cet outil bien qu’elle soit considéré au jour d’aujourd’hui comme le gold standard pour l’évaluation de la marche. De fait le manque d’un autre dispositif permettant une évaluation précise de la marche en situation écologique a été largement pointé du doigt par les praticiens et ceci nous a conduit à réaliser ce travail de thèse. L’objectif de cette thèse était de développer un système de capteurs qui peut mesurer les paramètres de la marche des personnes hémiparétiques en situation écologique. Pour ce faire, les travaux de thèse sont consacrés à la mise en oeuvre d’algorithmes d’estimations d’orientation, à la conception de l’électronique du capteur de mouvement et du logiciel qui permettra la fusion des données. Pour que le système soit optimisé pour la marche des patients hémiparétiques, un nouvel algorithme de découpage automatique des données en fonction du cycle de marche a été développé en ayant recours à des télémètres en radio fréquence. Le nouveau système que nous proposons est basé sur une architecture distribuée de capteurs sans fil. Sa facilité de mise en place, sa compacité et son poids (léger) limitent les perturbations qu’il pourrait introduire lors de lamarche du patient. Différentes expérimentations ont été conduites pour évaluer la précision de la quantification des angles articulaires, la précision de la synchronisation des capteurs, la précision de la détection des évènements de la marche et la robustesse dans le cas d’une marche pathologique. Les valeurs des paramètres estimés par le système proposé ont étécomparées avec celles issues du système AQM. Le système montre une bonne robustesse lors de son utilisation dans le cas de la marche pathologique.De plus ils montrent que les différences entre les résultats acquis avec l’AQM et ceux acquis avec le système multi-capteur sans fil proposé sont très faibles. / Clinical evaluation of stroke patients before and also after treatments is an essential step in gait rehabilitation. A 3D gait analysis system allows quantification of several parameters at each instant of walking. Nowadays, the 3D gait analysis system is used in clinical conditions which are different from daily life conditions. Indeed, the 3D gait analysis system, considered as a reference, can only be used at hospital. The absence of device usable in daily life situation constitutes a lack pointed out by clinical practitioners and was at the origin of this research. The objective of this thesis was to develop a wearable system that can measure the gait parameters of stroke patient in daily life situations. To do this, this thesis was devoted to the implementation of algorithms for joints angles estimation, to the design the electronics of the wearable movement sensors and the sensors’ firmware. In order to make the system optimized for stroke patients,a new algorithm for automatic partitioning data into gait cycles has been developed. Radio frequency rangefinders have been specially developed for this new algorithm. The wireless sensor system that we proposed is based on a distributed architecture. Its easy installation, compactness and light weight reduce their possible influence on patients’ gait. Different experiments had been carried out to evaluate with accuracy the joint angles, the precision of the sensor synchronization, the precision of the gait events detection and the robustness in the case of pathological walk. The gait parameters quantified by this new system are similar to those obtained with the 3D motion analysis system. The system shows good robustness when used in the case of pathological walking and the differences of results obtained with respectively the 3D motion analysis system and the proposed multi-sensor wireless system are limited. Once industrialized, it will be quite possible to use it to assess patients’ gait in daily life conditions.

This thesis deals with an approach to monitor the integrity and composition of cargo wagons withthe help of Wireless Sensor Network (WSN). The WSN is to be fully automated that does notneed any human intervention for gathering information about the composition and integrity ofcargo trains, which are the most necessary factors for Cargo Logistics. The nodes are deployed inevery wagon along with the master node in the main locomotive. The master node in thelocomotive gets the information from the slave nodes placed in the cargo wagons in successivesessions. If there are any unexpected changes in the composition of the wagon, theacknowledgments to the locomotive will be terminated. This approach mainly focuses ondesigning energy-efficient as well as cost-efficient WSN. The designed WSN can accommodateto changes, which are caused by external conditions. The designed approach is also scalable. TheWSN is designed with the usage of Zigbee mesh protocol with Arduino Microcontroller as thebrain of the system that is validated and verified in the indoor, imitating the railway environment.

The ways that people use libraries have changed drastically over the past few decades. Proliferation of computers and the internet have led to the purpose of libraries expanding from being only places where information is stored, to spaces where people teach, learn, create, and collaborate. Due to this, the ways that people occupy the space in a library have also changed. To keep up with these changes and improve patron experience, institutions collect data to determine how their spaces are being used. This thesis involves the development a system that collects, stores, and analyzes data relevant to occupancy to learn how a space is being utilized. Data is collected from a temperature and humidity sensor, passive Infrared sensor, and an Infrared thermal sensor array to observe people as they occupy and move through a space. Algorithms were developed to analyze the collected sensor data to determine how many people are occupying a space or the directions that people are moving through a space. The algorithms demonstrate the ability to track multiple people moving through a space as well as count the number of people in a space with an RMSE of roughly 0.39 people.

In this degree thesis, the research team analyses different ways of monitoring water flow in wastewater channels finds an effective way of processing data using machine learning on collected data from a specific area and sets up a system for finding correlations between rain levels, water usages and wastewater flow to detect infiltrations and inflow water in wastewater channels. The study concludes that a sensor network is most suited for monitoring wastewater channels and that machine learning could be used to detect infiltration and inflow water using different types of data.

The aim of this work is to design and create an application that will allow monitoring of wireless sensor networks. The basis of the project is to design a database that is capable of storing data acquired from wireless sensor networks. The main requirement for the design is versatility, which flows from the requirement to use the database for broad range of applications implementing wireless sensor networks. The application itself is designed to be the most versatile and modular, which means that modules provide specific monitoring services. The application is able to monitor the real wireless sensor network through designed and implemented connector. For implementation J2EE (server side) and Adobe Flex/Air (client side) technologies are used.

This thesis describes the design of wireless sensor network (WSN) for monitoring of people and objects in a building. The work deals with issues of localization and tracking in sensor networks and algorithm implementation to sensor nodes. It also contains a description of the aplication requirements. These requirements form the basis for the proposal. The hardware part of the network consists of sensor nodes IRIS from Crossbow company. The work describes the properties of these nodes. Next part deals with of propagation model and design of the localization algorithm. The paper also describes the communication in the network. The thesis also includes a practical realization of the proposed network, the localization system and its testing. In the work is included a CD with the building schematic in AutoCAD and with source code of created applications.

The aim of this master's thesis is to design and create web application that allows analysing and monitoring wireless sensor networks. The main function is to load plan of given area and shown position of the sensor network nodes. These nodes allow user to set which measured phenomenon will be display on them. The measured values can be loaded directly from sensor nodes or from database server. Visualized values for user defined time period can be displayed in the implemented graph. The application itself is programmed in JavaFX language and follows the rules of REST architecture. For easier communication with database server application uses the MyBatis framework.

This thesis deals with the feasibility collecting data from web servers running on the nodes in sensor networks. It focuses on sensor network based on IEEE 802.15.4 and 6LoWPAN. The work itself is divided to the node side and server side.REST web services on the node‘s Web server provides sensor data. These data are collected with Java application running on the sensor network server. This servers stores collected data in a database.

This work is aimed to design power supply for nodes of wireless sensors networks using solar energy in indoor spaces. The proposal is made for the particular layout, but the process described can be applied generally. The result is the proposed involvement of the operating power circuit for node of wireless sensor network used indoors.