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Real-time multimedia streaming is an extensively researched topic. The possibility of streaming video over the internet in real time requires smart solutions on many levels at the player and streamer side, as well as along the intermediate network. There are many different methods used to achieve this, but not all of them are suitable for the low latency real-time streaming needed for remote operations of vehicles. This thesis focuses on the bit-rate control at the streamer side to achieve low latency, meaning how the video quality is changed to adapt to the changes in the network. A literature study was conducted, in order to find what algorithms are currently being used for real-time streaming. It investigated both what control methods are used, as well as what feedback metrics are feed to these controllers. These approaches where then evaluated from a theoretical standpoint for real-time low latency streaming on 4G networks together with the rest of the assumed system. Using these discovered methods, two new algorithms were created. They were tested against an already existing benchmark controller, both in simulation and on a real network. As the benchmark algorithm proved to already be using all suitable feedback metrics, only small control alterations where done to the existing benchmark algorithm. The goal for the new algorithms was to increase the total throughput of the video stream, without decreasing the robustness and causing a higher latency.  Simulation and real network tests proved that the new algorithms are unable to provide a higher throughput without increasing the latency. The conclusion is that the benchmark controller is well designed and explicitly configured to work for the goal of low latency video streaming. This being the case with many controllers in the industry, as they are well designed and extensively trimmed for their specific task.

International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The Bit Rate Agile Onboard Telemetry Formatting (BRAOTF) system was developed by Killdeer Mountain Manufacturing to address increasing demands on the efficiency of telemetry systems. The BRAOTF thins and reorders data streams, adjusting the bit rate of a pulse code modulation (PCM) stream using a bit-locked loop to match the desired information rate exactly. The BRAOTF accomplishes the adjustment in hardware, synthesizing a clock whose operating frequency is derived from the actual timing of the input format. Its firmware manages initialization and error management. Testing has confirmed that the BRAOTF implementation meets its design goals.

International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California / It is known that a PCM telemetry system features with good accuracy, great dynamic range, and low noise. And when more than fourteen data channels are required, the PCM is generally the best choice. The paper describes the general ideas involved in developing a PCM telemetry system with fibre transmission.

State of the art model based coders offer a perceptually acceptable reconstructed speech quality at bit-rates as low as 2000 bits per second. However, the performance of these coders rapidly deteriorates below this rate, primarily since very few bits are available to encode the model parameters with high fidelity. This thesis aims to meet the challenge of designing speech coders that operate at lower bit-rates while reconstructing the speech at the receiver at the same or even better quality than state of the art low bit-rate speech coders. In one of the contributions, we develop a plethora of techniques for efficient coding of the parameters obtained by the MELP algorithm, under the assumption that the classification of the frames of the MELP coder is available. Also, a simple and elegant procedure called dynamic codebook reordering is presented for use in the encoders and decoders of a vector quantization system that effectively exploits the correlation between vectors of parameters obtained from consecutiv speech frames without introducing any delay, distortion or suboptimality. The potential of this technique in significantly reducing the bit-rates of speech coders is illustrated. Additionally, the thesis also attempts to address the issues of designing such very low bit-rate speech coders so that they are robust to environmental noise. To impart robustness, a speech enhancement framework employing Kalman filters is presented. Kalman filters designed for speech enhancement in the presence of noise assume an autoregressive model for the speech signal. We improve the performance of Kalman filters in speech enhancement by constraining the parameters of the autoregressive model to belong to a codebook trained on clean speech. We then extend this formulation to the design of a novel framework, called the multiple input Kalman filter, that optimally combines the outputs from several speech enhancement systems. Since the low bit-rate speech coders compress the parameters significantly, it is very important to protect the transmitted information from errors in the communication channel. In this thesis, a novel channel-optimized multi-stage vector quantization codec is presented, in which the stage codebooks are jointly designed.

In this Thesis, we propose a mechanism to dynamically adjust the video bit rates through the segmentation and the reassembly of SVC (Scalable Video Coding) segments in a P2P network. At the transmitter, an SVC film is segmented into a number of segments with different sizes. Each segment is further chopped into Torrents according to three scalabilities of SVC (Temporal, Quality, and Spatial). The Torrents with three scalabilities are referred to as 3D-Torrents. At the receiver, we present three approaches of grabbing Torrents (Temporal-First, Quality-First and Interleaving) form P2P networks to validate that the proposed 3D-Torrent reassembly can adapt to different bandwidths and to fit different hardware equipments so that any possible video freeze-up time can be avoided. To demonstrate how the proposed 3D-Torrent reassembly affect video bit rates in the P2P video streaming environment, we implement the segmentation, grabbing, and reassembly of Torrents on a Linux platform. In the P2P network built by Hadoop, we study (i) the video freeze-up time with/without adopting 3D-Torrent reassembly, (ii) video quality under different grabbing approaches using two different types of video, static and active background. To compare the video quality at the transmitter to that at the receiver, we modify the conventional PSNR equation. Two new dimensions, Temporal and Spatial, are included in the new PSNR3D equation to compare the video quality between the transmitter and the receiver. From the experimental results, we observe that the freeze-up time approaches zero using the 3D-Torrent reassembly and video bit rates can be dynamically adjusted according to the available bandwidth.

In the Thesis, we propose a mechanism to dynamically adjust video parameters in an intelligent video surveillance network. Whenever there is an alarm or network encounters congestion, we could adjust video parameters including Frames per Second (FPS), Quality, and Picture Size to adapt to network bandwidth. For examples, we can adjust FPS when an alarm exists in the surveillance system; we can adjust the Quality or Picture Size by counting the total number of video packets received per second to obtain a smooth video when network is congested To demonstrate the proposed schemes, we implement these three adjustable parameters, Quality, Picture size, and FPS on a Linux platform. To do this, we establish a new HTTP connection from a client to a camera and then we develop the corresponding control messages issued by the client in order to change the video parameters. In addition, we implement a video recovery mechanism by measuring the differences in arrival time between every packet (referred to as diff). Finally, we observe with our proposed scheme whether the video quality can be smoother under different background traffics. In the video recovery mechanism, we utilize diff to decide whether a higher quality picture should be persisted or downgraded to a lower quality picture to avoid packet loss under network congestion.

Made available in DSpace on 2016-04-04T18:31:21Z (GMT). No. of bitstreams: 1 Marcelo Aparecido Morales.pdf: 2213720 bytes, checksum: 6858d1301ee70451e07970bdb465607e (MD5) Previous issue date: 2008-02-15 / The IEEE 802.11 wireless local area network presents a MAC anomaly when stations with different bit rates are connected in the same Access Point. Stations with high SNR have worst performance than stations with low SNR. This condition is worse in PWLANs (Public Wireless Local Area Network) with users connecting with different bit rates. This paper proposes a policy that uses the SNR and the condition of propagation to control users Contention Window. With this policy it is possible to control the Bit Rate, which is not possible in the 802.11 networks. / Redes 802.11 apresentam uma anomalia quando existem esta??es com diferentes taxas conectadas a um mesmo ponto de acesso. Esta??es com boa SNR (Signal-to-Noise Rate) obt?m um desempenho pior que esta??es com pior SNR. Esta condi??o ? esperada de forma agravada em redes p?blicas com v?rios usu?rios se conectando a diferentes taxas. Neste trabalho ? proposta uma pol?tica atrav?s da varia??o da janela de conten??o, levando em considera??o a SNR e a condi??o de propaga??o do local. Com a pol?tica a ser apresentada ? poss?vel controlar a taxa de transmiss?o em fun??o da SNR, criando uma possibilidade n?o oferecida pela rede 802.11.

L'Internet des objets (IoT) devrait interconnecter plus de 50 milliards d’objet d'ici à 2020. Avec l'IoT, une variété d’objets de différentes industries seront interconnectés à travers Internet. Avec un accent sur la gestion et le stockage des ressources énergétique et l'eau. L'IoT permet d’enrichir les services fournis par les distributeurs d’énergie à travers les smart-grid au-delà de la distribution, de l'automatisation et du contrôle. Les systèmes de gestion pour la domotique et les bâtiments intelligents aideront les consommateurs à surveiller et à ajuster leur consommation. Les compteurs intelligents fournissent ainsi un ensemble d’information permettant aux fournisseurs d’énergie de mettre en place des services plus intelligents pour l'ensemble de la chaîne de production d'énergie. L'objectif principal de ce projet de recherche doctorale est de développer des modules de communication très basse consommation. La consommation énergétique étant la plus grande contrainte pour les applications de compteurs intelligents. Les objets connectés alimentés par batterie tels que les capteurs et compteurs de gaz et d'eau sont concernés directement par la consommation en énergie de leur module de communication. Aujourd'hui, la plupart des solutions sans fil embarquées conçues pour capteurs alimentés ne sont pas compatible avec la pile protocolaire IPv6 afin d’économiser la consommation énergétique. Élaborer des technologies sans fil de l'IoT pour atteindre les objectifs de consommation d'énergie va démocratiser l’utilisation de ces technologies et aider les solutions de l’IoT à trouver leur place sur le marché. Ce doctorat débutera par: 1) Un état de l'art permettant d'examiner les solutions actuelles développées pour les réseaux de capteurs et des protocoles conçus pour les appareils alimentés par batterie. 2) Dans un deuxième temps en examinant les solutions Itron pour IPv6 réseau maillé. 3) La troisième phase sera la proposition et la conception d'une solution à faible consommation pour les modules sans fil et l'internet des objets. 4) Et enfin l’expérimentation et la validation des solutions proposées sur des plateformes d’expérimentations / The Internet of Things (IoT) is expected to grow to 50 billion connected devices by 2020. Within the IoT, devices across a variety of industries will be interconnected through the Internet and peer-to-peer connections as well as closed networks like those used in the smart grid infrastructure. With the global focus on energy and water management and conservation, the IoT will extend the connected benefits of the smart grid beyond the distribution, automation and monitoring being done by utility providers. Management systems for in-home and in-building use will help consumers monitor their own usage and adjust behaviors. These systems will eventually regulate automatically by operating during off-peak energy hours and connect to sensors to monitor occupancy, lighting conditions, and more. But it all starts with a smarter and more connected grid. Smart metering provides a base around which utilities can build up smarter advanced services for the whole chain of energy generation, transmission and distribution. The main objective of this doctoral research project is to come up with the IoT communication modules with very low consumption characteristics. The energy consumption is the most challenging issue for smart home and smart metering applications. The battery powered devices such as sensors and gas and water meters are concerned directly with the consumption of their communication module. Today most of the embedded wireless solutions designed for sensors and battery powered devices do not embed IPv6 stack in the communication module to have a basic hardware with low consumption. Elaborating IoT wireless technologies to achieve the tough energy consumption objectives imposed to them will boost up the spread of these technologies and help IoT to find its place in the market fast. This PhD program will start with: First) a state of the art and reviewing the current solutions developed for sensor networks and protocols designed for battery powered devices. Second) it continues by reviewing Itron solutions for IPv6 meshed network. Third) Design of a low consumption solution for IoT wireless modules and) finally test and experimentation on platform

International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The most bandwidth-efficient communication methods are imperative to cope with the congested frequency bands. Pulse Shaping methods have excellent effects on narrowing bandwidth and increasing band utilization. The position of the baseband filters for the pulse shaping is crucial. Filters after the modulator will have non-constant envelope and before the modulator will have constant envelope. These two types have different effects on narrowing the bandwidth and producing bit errors. The constant envelope 8 PSK is used throughout the simulations and is compared with the non-constant envelope results. This work provides simulation results of spectrum analysis and measure of bit errors produced by pulse shaping in an AWGN channel.