Wireless Sensor Networks (WSNs) have significant potential in many application domains, and are poised for growth in many markets ranging from agriculture and animal welfare to home and office automation. Although sensor network deployments have only begun to appear, the industry still awaits the maturing of this technology to realize its full benefits. The main constraints to large scale commercial adoption of sensor networks are the lack of available network management and control tools for determining the degree of data aggregation prior to transforming it into useful information, localizing the sensors accurately so that timely emergency actions can be taken at exact location, and scheduling data packets so that data are sent based on their priority and fairness. Moreover, due to the limited communication range of sensors, a large geographical area cannot be covered, which limits sensors application domain. Thus, we investigate a scalable and flexible WSN architecture that relies on multi-modal nodes equipped with IEEE 802.15.4 and IEEE 802.11 in order to use a Wi-Fi overlay as a seamless gateway to the Internet through WiMAX networks. We focus on network management approaches such as sensors localization, data scheduling, routing, and data aggregation for the WSN plane of this large scale multimodal network architecture and find that most existing approaches are not scalable, energy efficient, and fault tolerant. Thus, we introduce an efficient approach for each of localization, data scheduling, routing, and data aggregation; and compare the performance of proposed approaches with existing ones in terms of network energy consumptions, localization error, end-to-end data transmission delay and packet delivery ratio. Simulation results, theoretical and statistical analysis show that each of these approaches outperforms the existing approaches. To the best of our knowledge, no integrated network management solution comprising efficient localization, data scheduling, routing, and data aggregation approaches exists in the literature for a large scale WSN. Hence, we e±ciently integrate all network management components so that it can be used as a single network management solution for a large scale WSN, perform experimentations to evaluate the performance of the proposed framework, and validate the results through statistical analysis. Experimental results show that our proposed framework outperforms existing approaches in terms of localization energy consumptions, localization accuracy, network energy consumptions and end-to-end data transmission delay.

Title: Ensemble Kalman filter on high and infinite dimensional spaces Author: Mgr. Ivan Kasanický Department: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Daniel Hlubinka, Ph.D., Department of Probability and Mathematical Statistics Consultant: prof. RNDr. Jan Mandel, CSc., Department of Mathematical and Statistical Sciences, University of Colorado Denver Abstract: The ensemble Kalman filter (EnKF) is a recursive filter, which is used in a data assimilation to produce sequential estimates of states of a hidden dynamical system. The evolution of the system is usually governed by a set of di↵erential equations, so one concrete state of the system is, in fact, an element of an infinite dimensional space. In the presented thesis we show that the EnKF is well defined on a infinite dimensional separable Hilbert space if a data noise is a weak random variable with a covariance bounded from below. We also show that this condition is su cient for the 3DVAR and the Bayesian filtering to be well posed. Additionally, we extend the already known fact that the EnKF converges to the Kalman filter in a finite dimension, and prove that a similar statement holds even in a infinite dimension. The EnKF su↵ers from a low rank approximation of a state covariance, so a covariance localization is required in...

In this thesis, an extension of the existing localization system of the ABSOLUT project is presented, with the aim of making it more resistant to GNSS errors. This enhanced system is based on the integration of a LiDAR sensor. Initially, a 3D map of the traversed route is created using the LiDAR sensor. This process employs an existing factor graph-based SLAM algorithm, which is made more stable and accurate through the inclusion of a surveyed elevation profile of the environment, the integration of vehicle odometry sensors, and bias estimates of the IMU. The generated map is used during the drive to determine the vehicle's position by comparing it with the currently captured point clouds. This procedure relies on a newly developed Error-State Kalman Filter that fuses LiDAR odometry with absolute LiDAR position estimates. To optimally use the pose estimation from the various sensor systems, an approach is proposed that adaptively combines the estimates based on the environment. The performance of the developed system is evaluated using real driving data.

<p>EU direktiv 2005/0182 röstades igenom i början av år 2006. All trafik-data kring Internet- och telekommunikation ska lagras mellan sex må-nader och ett år. Direktivet kommer innebära gemensamma regler för EU:s medlemsstater. Syftet med direktivet är att data ska lagras för till-gänglig vid utredning, avslöjande och åtal av grov organiserad brottslig-het och terrorism.</p><p>Studien innehåller tre problemområden som behandlar andra gällande direktiv och konventioner, personlig integritet och etik. Först undersöks det nya direktivet i relation till European Convention on human rights (ECHR) Vidare förs diskussioner kring lagring av trafikdata och lokali-seringsdata i förhållande till personlig integritet. Även etikens syn på hur lagring av personuppgifter ska hanteras och rättfärdigas tas upp.</p><p>Studien har kommit fram till ett resultat kring varje problemområde. I relation till redan gällande direktiv och konventioner visar studien att det är väldigt öppet för tolkningar. Dock är det framförallt mot artikel 8 i ECHR som det nya direktivet strider mot.</p><p>Peter Seipel har definierat sex olika teorier kring synen på personlig in-tegritet. Direktivets påverkan på den personliga integriteten har analy-serats med hjälp av dessa teorier. Sammanfattningsvis kan det konstate-ras att lagring av trafikdata och lokaliseringsdata kan ses som ett in-trång i den personliga integriteten, frågan är om detta intrång är berät-tigat?</p><p>Inom etiken är synen på direktivet koncentrerat till vems nytta direkti-vet är och vilket mål direktivet ska uppnå. Ofta hamnar olika regler och ställningstagande i konflikt med varandra där två saker kan ses som rätt, men de båda inte kan samexistera.</p> / <p>At the beginning of year 2006 EU directive 2005/0182 was approved by the European parliament. The directive contains rules concerning the retention of traffic and localization data created with electronically communication. This data will be stored between six months and 1 year depending on the data type. The intension is to use the data to detect, investigate and prosecute heavy criminals and terrorists.</p><p>This study contains three different problem areas, if the directive op-poses to existing directives and conventions. The relationship between personal integrity and storage of personal information is also investi-gated. The last area is ethical issues with the storing of personal data.</p><p>The result is divided into three parts, one for each problem area. It shows that the new directive don’t comply with article 8 in the European convention on human rights. Although all the articles presented are open for wide interpretation.</p><p>Peter Seipel has made a categorization of six different views of the per-sonal integrity. It is clear that the new directive will affect the personal integrity.</p><p>The ethical view on the directive is concentrated to who will benefit from the changes and witch goals are the directive set to meet. Often the rules of ethics will conflict with each other because of two sets of rules can’t exist together.</p>

EU direktiv 2005/0182 röstades igenom i början av år 2006. All trafik-data kring Internet- och telekommunikation ska lagras mellan sex må-nader och ett år. Direktivet kommer innebära gemensamma regler för EU:s medlemsstater. Syftet med direktivet är att data ska lagras för till-gänglig vid utredning, avslöjande och åtal av grov organiserad brottslig-het och terrorism. Studien innehåller tre problemområden som behandlar andra gällande direktiv och konventioner, personlig integritet och etik. Först undersöks det nya direktivet i relation till European Convention on human rights (ECHR) Vidare förs diskussioner kring lagring av trafikdata och lokali-seringsdata i förhållande till personlig integritet. Även etikens syn på hur lagring av personuppgifter ska hanteras och rättfärdigas tas upp. Studien har kommit fram till ett resultat kring varje problemområde. I relation till redan gällande direktiv och konventioner visar studien att det är väldigt öppet för tolkningar. Dock är det framförallt mot artikel 8 i ECHR som det nya direktivet strider mot. Peter Seipel har definierat sex olika teorier kring synen på personlig in-tegritet. Direktivets påverkan på den personliga integriteten har analy-serats med hjälp av dessa teorier. Sammanfattningsvis kan det konstate-ras att lagring av trafikdata och lokaliseringsdata kan ses som ett in-trång i den personliga integriteten, frågan är om detta intrång är berät-tigat? Inom etiken är synen på direktivet koncentrerat till vems nytta direkti-vet är och vilket mål direktivet ska uppnå. Ofta hamnar olika regler och ställningstagande i konflikt med varandra där två saker kan ses som rätt, men de båda inte kan samexistera. / At the beginning of year 2006 EU directive 2005/0182 was approved by the European parliament. The directive contains rules concerning the retention of traffic and localization data created with electronically communication. This data will be stored between six months and 1 year depending on the data type. The intension is to use the data to detect, investigate and prosecute heavy criminals and terrorists. This study contains three different problem areas, if the directive op-poses to existing directives and conventions. The relationship between personal integrity and storage of personal information is also investi-gated. The last area is ethical issues with the storing of personal data. The result is divided into three parts, one for each problem area. It shows that the new directive don’t comply with article 8 in the European convention on human rights. Although all the articles presented are open for wide interpretation. Peter Seipel has made a categorization of six different views of the per-sonal integrity. It is clear that the new directive will affect the personal integrity. The ethical view on the directive is concentrated to who will benefit from the changes and witch goals are the directive set to meet. Often the rules of ethics will conflict with each other because of two sets of rules can’t exist together.