The objective of this study was to examine the relationship between gigabit broadband network penetration (GBNP) and the economic well-being in Metropolitan Statistical Areas (MSA) in the United States. The literature highlights the colloquial examples of how gigabit connectivity has impacted MSA economies, the governance structure, and the economic indicators of a local economic health. Variables in the analysis were separated into four categories: time, geographic, economic, and employment. Data was collected from the FCC Form 477, US Census Bureau ACS 5 year estimates, and the Bureau of Economic Analysis between the years 2011 and 2014. A descriptive analysis explored the statistical relationships between the selected factors. Results showed that the time variable, selected economic variables, and selected employment variables all show positive relationships with GBNP. The study offers the opportunity for future research to build off of in order to comprehensively answer the question about the relationship between economic well-being and GBNP. / Master of Urban and Regional Planning

As near-Earth space becomes more populated with large constellations of satellites and research into spacecraft autonomy and disaggregation becomes more prevalent, it will be increasingly important to design effective communication procedures between satellites to efficiently share resources and avoid collisions. Though there have been several space networking simulation tools created in recent years, they all lack rigorous astrodynamics models or use high-fidelity but bulky and computationally taxing commercial software. This research presents Spacecraft-ns3, an extension to the ns-3 network simulator. Using a modular approach, Spacecraft-ns3 propagates orbit state, plans discrete events, and analyzes network metrics and flows. A case study using Spacecraft-ns3 is presented for exploratory space network analysis. / Master of Science / Near-Earth space has become more crowded in recent years due to the increasing number of large constellations of satellites in this region. Autonomous vehicle research has been applied to Earth satellites primarily to share power and computing resources between satellites, or to prevent collisions between satellites. Both of these factors require effective communication procedures between satellites, which can be inexpensively simulated with network simulators. However, network simulators are primarily designed for ground-based use, and must be combined with an astrodynamics simulator to effectively simulate satellite networks. This research presents Spacecraft-ns3, an integrated simulator that defines spacecraft orbits and attitude, and analyzes network activity. This simulator improves upon prior simulation efforts by extending the ns-3 network simulator with efficient and high-fidelity astrodynamics models. The Spacecraft-ns3 simulator is demonstrated in an exploratory case study.

<p> <p>&nbsp / </p> </p> <p align="left">The underlying theme of this thesis is identification, classification, detection and prediction of cellular network faults using state of the art technologies, methods and algorithms.</p>

<p> <p>&nbsp / </p> </p> <p align="left">The underlying theme of this thesis is identification, classification, detection and prediction of cellular network faults using state of the art technologies, methods and algorithms.</p>

Philosophiae Doctor - PhD / The underlying theme of this thesis is identification, classification, detection and prediction of cellular network faults using state of the art technologies, methods and algorithms.

In communication networks today, the amount of users and traffic is constantly increasing. This results in the need for upgrading the networks to handle the demand. Free space optics is a technique which is relatively cheap with high capacity compared to most systems today. On the other hand, FSO have some disadvantages with the effects on the system by, for instance, turbulence and weather. The aim of the project is to investigate the use of network optimization for designing an optimal network in terms of capacity and cost. Routing optimization is also covered in terms of singlepath and multipath routing. To mitigate the problem with turbulence affecting the system network survivability is implemented with both proactive and reactive solutions. The method used is to implement the system in Matlab, the system should also be tested so that it works as intended. The report covers related work as well as theory behind FSO and the chosen optimization algorithms. The system uses modified Bellman-Ford optimization as well as Kruskal’s minimum spanning tree. K-link-connectivity is also implemented for the network survivability and multipath algorithm. Results of the implementation shows that the network survivability improves the robustness of the system by changing paths for traffic which is affected by broken links. Routing done by multipath will increase the throughput and also reduce the delay for the traffic.

In communication networks today, the amount of users and traffic is constantly increasing. This results in the need for upgrading the networks to handle the demand. Free space optics, FSO, is a technique which is relatively cheap with high capacity compared to most systems today. On the other hand, FSO have some disadvantages with the effects on the system by, for instance, turbulence and weather. The aim of the project is to investigate the use of network optimization for designing an optimal network in terms of capacity and cost. Routing optimization is also covered in terms of singlepath and multipath routing. To mitigate the problem with turbulence affecting the system network survivability is implemented with both proactive and reactive solutions. The method used is to implement the system in Matlab, the system should also be tested so that it works as intended. The report covers related work as well as theory behind FSO and the chosen optimization algorithms. The system uses modified Bellman-Ford optimization as well as Kruskal’s minimum spanning tree. K-link-connectivity is also implemented for the network survivability and multipath algorithm. Results of the implementation shows that the network survivability improves the robustness of the system by changing paths for traffic which is affected by broken links. Routing done by multipath will increase the throughput and also reduce the delay for the traffic.

Seismic tomography is a technique for illuminating the physical dynamics of the Earth by seismic waves generated by earthquakes or explosions. In both industry and academia, the seismic exploration does not yet have the capability of imaging seismic tomography in real-time and with high resolution. There are two reasons. First, at present raw seismic data are typically recorded on sensor nodes locally then are manually collected to central observatories for post processing, and this process may take months to complete. Second, high resolution tomography requires a large and dense sensor network, the real-time data retrieval from a network of large-amount wireless seismic nodes to a central server is virtually impossible due to the sheer data amount and resource limitations. This limits our ability to understand earthquake zone or volcano dynamics. To obtain the seismic tomography in real-time and high resolution, a new design of sensor network system for raw seismic data processing and distributed tomography computation is demanded. Based on these requirements, three research aspects are addressed in this work. First, a distributed multi-resolution evolving tomography computation algorithm is proposed to compute tomography in the network, while avoiding costly data collections and centralized computations. Second, InsightTomo, an end-to-end sensor network emulation platform, is designed to emulate the entire process from data recording to tomography image result delivery. Third, a sensor network testbed is presented to verify the related methods and design in real world. The design of the platform consists of hardware, sensing and data processing components.

By advancing technologies in both hardware and software, it is possible to support more complex applications. Wireless Sensor Networks (WSNs) comprised of tiny sensing devices with wireless radios are the key enablers for future Internet of Things(IoT) applications, where collecting measurements and delivering them to their destination is the most important task. In traditional sensor networks, sensor nodes were typically stationary and each node periodically measured and sent data to the next predefined router. However, in current applications, some nodes are expected to move. For instance, in health monitoring applications, where patients with sensors attached to their body are free to move in the hospital or their houses. Software Defined Networking (SDN) is a technique that was conventionally used in wired networks, and recently was used in some wireless networks, such as cellular and wireless local area networks. The idea of SDN is to provide more flexibility in the network by getting the advantage of re-programmability of the network devices during run-time. In networks based on SDN, the control plane is shifted from the infrastructure to a higher level in order to provide re-configuration. The controller decides on updating forwarding rules by getting some feedback from nodes in the network. In wireless sensor networks, the feedback may contain information related to the link quality and available resources such as battery level and the location of the sensor node (number of hops away from the sink). In this thesis, a study ofseveral relevant SDN-based architectures for wireless sensor networks is given, outlining the main advantages and disadvantages for each. In addition, some mobility solutions in sensor networks such as localization, routing and hand-off algorithms are explored. One of the drawbacks with SDN is that it was originally built for wired networks there experience with mobility does not exist. Thus the thesis considers the possibility to use SDN solutions in WSN were certain applications are in need of mobility. Finally, the thesis propose mobility solution for sensor networks that takes advantage of SDN and uses a handoff algorithm. In fact, the hand-off mechanism is achieved by means of control message exchanges that is supervised by the controller.

The focus of this Thesis has been to evaluate different monitoring systems and processes that are used by the Network Operations Center at TDC Sverige AB. The problem formulation involves (i) how the monitoring systems are used, (ii) how these work together, (iii) what processes are involved and (iv) how the systems and processes can be improved to benefit the Network Operations Center. Processes involved in TDC’s work follows the Information Technology Infrastructure Library. To be able to answer the problem formulation, the current documentation is browsed and together with meetings with key figures within the company; such as managers, project managers, technicians and system administrators; information is gathered to give a comprehensive view of the current state of the monitoring systems, and the whole process leading to handover to the Network Operations Center. TDC Network as a Service is a concept that includes different networking solutions in which LAN and WLAN as a Service offers standardized networking solutions for LAN and WLAN. The Network Management System is described, which includes HP Network Node Manager i, Network Performance Servers and incident ticket systems. The process of how incident tickets can be created, both manually and automatically, is described as well as the whole process of how new customers are added to the monitoring and how customers are registered in the different Service Asset and Configuration Management applications. It is discussed how new nodes are added to the monitoring, and which systems are involved in this process, including Network Node Manager i, VisionApp, NetMRI and incident ticket systems. The regular monitoring process of the Network Operations Center is presented in this Thesis. It is suggested that the improvements include involving the Network Operations Center at an earlier stage during the selling and implementation process, and devised a better transition to the Service Operation phase. TDC would benefit from fewer Service Asset and Configuration Management applications and incident ticket systems and there should be better routines regarding documentation.