abstract: The use of energy-harvesting in a wireless sensor network (WSN) is essential for situations where it is either difficult or not cost effective to access the network's nodes to replace the batteries. In this paper, the problems involved in controlling an active sensor network that is powered both by batteries and solar energy are investigated. The objective is to develop control strategies to maximize the quality of coverage (QoC), which is defined as the minimum number of targets that must be covered and reported over a 24 hour period. Assuming a time varying solar profile, the problem is to optimally control the sensing range of each sensor so as to maximize the QoC while maintaining connectivity throughout the network. Implicit in the solution is the dynamic allocation of solar energy during the day to sensing and to recharging the battery so that a minimum coverage is guaranteed even during the night, when only the batteries can supply energy to the sensors. This problem turns out to be a non-linear optimal control problem of high complexity. Based on novel and useful observations, a method is presented to solve it as a series of quasiconvex (unimodal) optimization problems which not only ensures a maximum QoC, but also maintains connectivity throughout the network. The runtime of the proposed solution is 60X less than a naive but optimal method which is based on dynamic programming, while the peak error of the solution is less than 8%. Unlike the dynamic programming method, the proposed method is scalable to large networks consisting of hundreds of sensors and targets. The solution method enables a designer to explore the optimal configuration of network design. This paper offers many insights in the design of energy-harvesting networks, which result in minimum network setup cost through determination of optimal configuration of number of sensors, sensing beam width, and the sampling time. / Dissertation/Thesis / M.S. Computer Science 2012

This thesis deals with the creation of wireless sensor networks consisting of components Arduino. The work includes introduction to the Arduino platform and its capabilities in combination with the wireless XBee modules. The important part is design a wireless network from these components and applications for the display of measured values from sensor nodes. The goal is to create sensor network with a dynamic topology and examine its behavior in real environment and the creation of applications for saving and displaying measured data from individual sensor nodes.

Indiana University-Purdue University Indianapolis (IUPUI) / In 21st century, interoperability in remote locations has always been a matter of contention. Interoperability is very closely related to internet and an efficient process saves a lot of time and money. With the advent of Wireless Sensor Networks (WSN), Native Internet Protocol (NIP) is considered as one of the most pragmatic solutions in market to address interoperability challenges and is gaining more attention in research. However, challenges like reliability, security of data, power consumption, range and maintenance, and accessibility of such internet in remote locations still remain a matter of concern, creating further barriers for interoperability. This research aims at proposing a viable solution to interoperability issues at remote locations, irrespective of its network or payload size, by integrating more advanced Wireless Sensor Protocols like Thread Protocol with a proposed Over The Air (OTA) file transfer functionality, into UAVs. Furthermore, this study analyzes power consumption, reliability, latency and scope of the proposed system and their applications in health care and industries.

Wireless sensor network (WSN) technology has gained in importance due to its potential support for a wide range of applications. Most of the WSN applications consist of a large number of distributed nodes that work together to achieve common objectives. Running a large number of nodes requires an efficient mechanism to bring them all together in order to form a multi-hop wireless network that can accomplish specific tasks. Even with the recent developments made in WSN technology, a number of important challenges still create vulnerabilities for WSNs, including: energy waste sources; synchronisation leaks; low network capacity; and self-configuration difficulties. However, energy efficiency perhaps remains both the most challenging and highest priority problem due to the scarce energy resources available in sensor nodes. Synchronization by means of scheduling clusters allows the nodes to cooperate and transmit traffic in a scheduled manner under the duty cycle mechanism. This paper aims to make further advances in this area of work by achieving higher accuracy and precision in time synchronisation through controlling the network topology, self-configuration and estimation of the clock errors between the nodes and finally correcting the nodes’ clock to the estimated value. Furthermore, the target in designing energy efficient protocol relies on synchronized duty cycle mechanism and requires a precise synchronisation algorithm that can schedule a group of nodes to cooperate by communicating together in a scheduled manner. These techniques are considered as parameters in the proposed OLS-MAC algorithm. This algorithm has been designed with the objective of ensuring the schedules of the clusters overlap by introducing a small shift in time between the adjacent clusters’ schedules to compensate for the clock drift. The OLS-MAC algorithm is simulated in NS-2 and compared to some S-MAC derived protocols. The simulation results verified that the proposed algorithm outperforms previous protocols in number of performance criterion.

No / This paper addresses interoperability issues in an IoT-based cloud environment consisting of multiple WSN clusters made up of connected objects embedded with smart devices which are fully integrated to the Web, forming the Web-ofThings (WoT). Two levels of interoperability are considered: Device-level interoperability and semantic-level interoperability. Eminent issues relating to device heterogeneity and platform dependencies are resolved by using an OSGi (Open Service Gateway initiative) framework as the software fabric for IoT deployment. However, OSGi alone is not enough to resolve data heterogeneity issues, and even less in providing a semantic mapping of devices and their data streams in a generic deployment. To enable this level of interoperability, a novel system that envisages an all-purpose collaboration framework for the WoT to deliver Sensing and Collaboration as a Service (SeaaS/CaaS) is presented.

Les progrès réalisés ces dernières années dans les domaines des télécommunications et de la miniaturisation rendent aujourd'hui possible le déploiement à un faible coût d'objets communicants autonomes, dans le but de collecter des données environnementale, ou de réagir lors de l'apparition d'événements spécifiques. L'apparition de ces nouveaux réseaux ad hoc rend alors nécessaire la proposition de protocoles adaptés aux contraintes des objets considérés, et des applications désirées. Durant cette thèse, l'objectif consistait à contribuer au domaine des réseaux de capteurs en proposant des solutions pour quelques unes des problématiques les plus importantes. Dans une première partie, dédiée aux problèmes de communication, nous étudions et proposons dans un premier temps un nouveau mécanisme de routage géographique économe en énergie qui s'affranchit de l'échange périodique de messages HELLO, nécessaires à la découverte du voisinage de chaque capteur. Nous décrivons ensuite une solution prenant en compte les éventuelles erreurs de localisation des capteurs. Nous nous sommes également intéressés à la proposition d'une stratégie de diffusion de messages depuis le point de collecte, qui cherche à la fois à minimiser les dépenses d'énergie dans le réseau, tout en les répartissant entre les différentes entités, dans le but d'accroître la durée de vie globale du réseau. Dans la seconde partie de cette thèse, nous avons considéré le problème de la localisation dans les réseaux sans fil multisaut. Après une étude des différentes solutions existantes dans la littérature, nous proposons une nouvelle famille de méthodes de localisation, particulièrement adaptées aux réseaux de capteurs sans fil. Nous décrivons sa capacité à passer à l'échelle, et grâce à de nombreuses simulations nous montrons la précision des résultats obtenus par notre méthode en matière de localisation , et ce, même dans des topologies complexes ou en présence de fortes erreurs de mesure. / Recent advancements in the fields of telecommunications and miniaturization make it possible to deploy for a reasonnable cost, autonomous communicating objects in order to collect environmental data, or to respond when a given event appears in the deployment area. Due to the emergence of these new kind of ad hoc networks, it is needed to design various new protocols, adapted to the constraints of considered objects and to the specific needs of targeted applications.During this thesis, the objective was to contribute to the field of wireless sensor networks by proposing solutions for some of the most important issues. In the first part of this document, dedicated to communication problems, we study and propose a new energy efficient geographical routing mechanism which overcomes the periodic exchange of HELLO messages, often required to determine sensors neighborhood. We also extend this method when considering the presence of location errors of sensors. Next, we have studied a strategy to enhance the lifetime of the network when periodic queries must be sent from the base station to the whole network, by adapting an efficient localized broadcast algorithm, in order to balance energy consumption between nodes. Additionally we have shown that it is not necessary to recompute the broadcast trees for each query to obtain a good lifetime.In the second part of this document, we considered the localization problem in wireless multihop networks. After a study of some of the most interesting solutions in the litterature, we propose a new family of localization methods which are well suited for wireless sensor networks, using 2-hop information and force-based algorithms. Through extensive simulations we show the scalabity of our method, and its ability to obtain accurate results, even when considering complex topologies or the presence of large measurement errors.

Energy saving, in battery operated wireless sensor networks, for the purpose of increasing the node and network lifetime, has gained substantial importance. This research was conducted with the objective of reducing the power consumption of the MICA2 sensors. The objective was pursued by manipulating the MAC layer, and by introducing a dynamic transmission power control algorithm. A new simulation tool was developed in order to reduce the complexity related to the design and testing of the transmission power control algorithm. The power control algorithm was also developed in the NesC language for the MICA2 sensors. In addition,several modifications were introduced to the original MAC protocol. Data, derived from both simulations and experiments, demonstrated that a significant reduction in energy expenditure was achieved, for the MICA2 sensors. In addition,the data revealed that the network lifetime was extended. This research dramatically illustrated the energy saving potential of the application of transmission power control procedures in wireless sensor networks.

Depuis des siècles nous utilisons des véhicules équipés des systèmes de suspension de vibrations. Ils permettent d'avoir un confort acceptable et ajoutent de la sécurité à la conduite. Les nouveaux systèmes installés dans les véhicules sont des systèmes actifs. Ils peuvent être adaptés selon les exigences en temps réel. Ces types de systèmes sont utilisés pour l'amortissement de vibrations et pour l’isolation vibro-acoustique. Dans la thèse nous présentons une nouvelle approche d'un système adaptatif pour les applications automobiles. Nous faisons l'hypothèse qu’un portage d'un système centralisé en système distribué peut améliorer son efficacité. Nous proposons un réseau de capteurs sans fil pour l’amortissement de vibrations dans les applications automobiles. Un capteur du réseau est capable de mesurer des vibrations, d’amortir des vibrations et de récupérer l’énergie depuis les vibrations en utilisant un seul élément piézoélectrique (la méthode Serial-SSHI). Ensuite nous validons le réseau de capteurs sur une structure mécanique de type plaque. Les mesures sont comparées avec des simulations d’éléments finis. Les résultats des mesures et des simulations confirment le choix des solutions. Le nœud du réseau fournit ses fonctionnalités destinées avec une efficacité acceptable. Nous validons la récupération d’énergie depuis les vibrations et la mesure des vibrations. Ensuite nous validons un effet local d’amortissement de vibrations et un effet global (le réseau de capteurs permet d’avoir une action d’amortissement complémentaire). / For centuries we have used vehicles equipped with the vibration suspension systems. These systems are used to provide comfort and safety. Nowadays we are implementing the active systems which can be adapted according to the real-time requirements. These types of systems are used to damp vibrations and to provide noise and vibration insulation. In the thesis we present a new approach of an adaptive system for automotive applications. We assume that a porting of a centralized system in a distributed system can improve its effectiveness. We offer a wireless sensor network for damping vibration in automotive applications. A network sensor is able to measure the vibrations, damp the vibrations and energy harvesting from vibrations by using a single piezoelectric element (Serial-SSHI method). We validate the network of nodes on a mechanical structure. The measurements are compared with finite element simulations. The results of measurements and simulations confirm the choice of solutions. The network node provides designed functionality with acceptable efficiency. We also validate the energy harvesting and the vibration measurements. The outcome of the work confirm a local effect of vibrations damping and a global effect (the designed Wireless Sensor Network provides a supplementary damping action).

Les progrès technologiques accomplis durant ces dernières décennies dans les domaines des microsystèmes et des radiocommunications nous permettent de réaliser des composants communicants miniaturisés à faible coût afin de constituer des réseaux de capteurs sans fil. Typiquement, chacun de ces composants intègre une ou plusieurs unités de mesures (capteur), une unité de traitement de données, une unité de communication radio et une batterie. De ce fait, un nouveau domaine de recherche s’est créé pour étudier le déploiement de ces réseaux afin d’offrir des solutions de surveillance et de contrôle à distance, notamment dans des environnements complexes ou inaccessibles. Les domaines d’application de ces capteurs sont très variés, allant de la domotique au militaire en passant par le médical et les infrastructures civiles. Souvent, ces applications impliquent des contraintes sévères en terme d’autonomie qui idéalement devrait atteindre plusieurs dizaines d’années. Pour atteindre cet objectif, il est à la fois nécessaire de réduire la consommation énergétique du nœud capteur et de trouver d’autres solutions d’alimentation en énergie pour le nœud. Pour adresser ce deuxième point, la récupération d’énergie à partir de l’environnement (solaire, vibratoire, thermique, etc.) semble représenter une solution idéale pour alimenter un nœud capteur, bien que celui-ci doive s’adapter aux faibles quantités d’énergie récupérées par ces systèmes, ainsi qu’à leurs variations et intermittences. Ces travaux de thèse s’intéressent donc à la problématique de la simulation et de la réduction de la consommation des nœuds de capteurs sans-fil et autonomes en énergie. Dans un premier temps, nous avons développé la plateforme HarvWSNet, un environnement de co-simulation alliant le simulateur de réseaux WSNet et Matlab permettant ainsi la modélisation précise et la simulation hétérogène des protocoles de communication (typiquement à événements discrets) et des systèmes de récupération d’énergie (qui possèdent typiquement un comportement à temps continu). Nous avons démontré que cette plateforme permet de réaliser très rapidement des études de pré-prototypage de scénarios applicatifs de déploiement et ainsi réduire le temps de conception de ces nouvelles technologies. Grâce à la modélisation précise des éléments du système de récupération d’énergie (batterie, supercapacité, etc.) permise par cette plateforme, nous avons étudié et évalué la durée de vie de déploiements à large échelle de réseaux de capteurs alimentés par des systèmes de récupération d’énergie (solaire et éolien). La deuxième contribution de cette thèse concerne l’étude et l’implémentation de stratégies de reconfiguration dans l’interface de communication radio, qui est souvent la principale source de consommation d’énergie d’un capteur, afin de permettre au nœud et/ou au réseau de minimiser sa consommation lorsque le bilan de liaison RF est favorable. A cette fin, nous avons proposé une approche originale grâce au développement d’un simulateur de réseau dédié, EnvAdapt (basé sur WSNet). Dans cette nouvelle plateforme, des modèles de consommation des différents blocs du transceiver radio et des algorithmes de reconfiguration ont été implémentés afin d’étudier l’impact de la reconfiguration des performances de la radio sur la qualité de service et l’autonomie d’un réseau de capteurs. / Technological advances achieved over the past decade in the fields of microsystems and wireless communications have enabled the development of small size and low cost sensor nodes equipped with wireless communication capabilities able to establish a wireless sensor network (WSN). Each sensor node is typically equipped with one or several sensing unit, a data processing unit, a wireless communication interface and a battery. The challenges raised by WSNs has lead to the emergence of a new research domain which focuses on the study and deployment of such a networks in order to offer the required remote monitoring and control solutions for complex and unreachable environment. WSNs have found application in a wide range of different domains, including home and structural health monitoring, military surveillance, and biomedical health monitoring. These applications usually impose stringent constraints on the WSN lifetime which is expected to last several years. To reach this objective, it is necessary to reduce the overall energy consumption of the sensor node and to find an additional source of energy as well. To address the last point, energy harvesting from the environment seems to be a an efficient approach to sustain WSNs operations. However, energy harvesting devices, which must also be small, are usually unable to ensure a continuous operation of sensor nodes. Thus, it is necessary to adapt the WSN consumption and activity to the low and unpredictable energy scavenged. The work presented in this thesis focuses on the issue of simulation and power consumption of autonomous sensor nodes. We have first developed, HarvWSNet, a co-simulation framework combining WSNet and Matlab that provides adequate tools to accurately simulate heterogenous protocols (based on discrete-time events) and energy harvesting systems (based on continuous-time events). We have demonstrated that HarvWSNet allows a rapid evaluation of energy-harvesting WSNs deployment scenarios that may accelerate the time-to-market for these systems. Thanks to the accurate energy models (battery, supercapacitor, etc.) implemented in this platform, we have studied and evaluated a large scale deployment of solar and wind energy-harvesting WSNs. Our second contribution focuses on the implementation of energy-aware reconfiguration strategies in the radio transceiver which is usually considered as the most energy hungry component in a sensor node. These strategies are intended to reduce the excessive power consumption of the radio transceiver when the channel conditions are favorable. To this end, we have a new simulation framework called EnvAdapt (based also on WSNet) dedicated to the evaluation of reconfigurable radio transceivers for WSNs. In EnvAdapt, we have implemented the required radio transceiver behavioral and power consumption models that allows the evaluation of the impact of radio transceiver reconfiguration on the communication performance and lifetime of WSNs.

La formule "Internet of Things'' a pris du sens à la fois au sein de la communauté public et de recherche. La raison principale est qu'en 2011, le nombre d'objets connectés à Internet surpassent le nombre d'humains en ligne, et il est attendu qu'en 2020, le nombre d'objets connectés dépassent les 20 billions. Etant donné la présence d'un grand nombre de plateformes hétérogènes qui composent l'IoT, notre intérêt se focalise sur les Réseaux de Capteurs (WSN), qui sont composés des petits dispositifs avec des contraintes de ressources (capacité de mémoire faible, processeur de faible puissance et faible puissance matérielle) qui collectent un ou plusieurs types de données. Presque toutes les recherches menées à ce jour reposent sur la standardisation de protocoles de communication, l'amélioration de la performance, l'optimisation de la consommation de ressources, etc. La sécurité a été reléguée au second plan, dû principalement au faibles ressources disponibles sur les capteurs. Cependant, les données collectées dans de multiples scénarios peuvent être très sensibles. Les données doivent être stockées de manière sûr et doivent être transmises de manière sûr d'un point à un autre. Le travail développé dans cette thèse définit les mécanismes permettant de garantir une communication sûr entre les capteurs. Et aussi fournissant des outils natifs pour le monitorage des communications, afin de valider ces mécanismes directement sur le réseaux / The denominated "Internet of Things'' (IoT) has been getting relevance in both the public and research communities. The main reason is that on 2011, the number of “objects” connected to the Internet surpassed the number of humans online, and is expected that for 2020, the number of objects exceeds the amount of 20 billion. Because of the high number of heterogeneous platforms that composed the IoT, our interest is centered around the Wireless Sensors Networks (WSN), which are composed by small devices with constrained resources (small amount of memory, small power processor, and small power supply) that collect one or more type of data. Almost all the research conducted to date relies on standardizing the communication protocols, ameliorating the performance, optimizing the resource consumption, etc. Security has been relegated to a second plane, due mainly to the low resources available on the sensors. However, the data collected in many scenarios can be highly sensitive. The data must be stored in a safe way and must be transmitted in a safe approach from the origin to the destiny. The work developed in this dissertation defines mechanisms to guarantee the safety of the communication between sensors. And, providing native tools for the monitoring of the communication, to validate these mechanisms directly on the network