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14th IEEE Annual Consumer Communications and Networking Conference (CCNC)

作者： Braun, Patrik J. ekler, peter Fitzek, Frank H. P. Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary Tech Univ Dresden Deutsch Telekom Chair Commun Networks Dresden Germany

ISBN: (纸本)9781509061969

Video on Demand (VoD) streaming constitutes a continuously increasing proportion of the global IP traffic. Conventional streaming approaches use a client-server topology, where one server or a group of servers serve all the clients. The main drawbacks of this technology is poor scalability. An alternative is the well known Peer-to-Peer (P2P) network topology which addresses this problem. However, for browser-based application, there is no standard method for distributed data dissemination. We present an application that uses WebRTC to establish direct browser to browser connections. We have designed two protocols WebPeer and CodedWebPeer for browser based P2P streaming. WebPeer is a conventional P2P protocol, while CodedWebPeer is a network coding enhanced P2P protocol. With our system, we demonstrate that using WebRTC P2P assisted VOD streaming can be accomplished. Furthermore, it outperforms the conventional client-server setup in terms of throughput by 70%, for the investigated scenario. In addition, by applying network coding, the performance of the network improves even further.

关键词： Protocols Peer-to-peer computing Servers Browsers Network coding WebRTC Network topology

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Robust Header Compression Version 2 Power Consumption on Android Devices via Tunnelling

Robust Header Compression Version 2 Power Consumption on And...

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IEEE International Conference on Communications (ICC) / Wireless Communications Symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Tomoskozi, Mate Seeling, Patrick ekler, peter Fitzek, Frank H. P. Acticom GmbH Berlin Germany Aalborg Univ Dept Elect Syst Aalborg Denmark Tech Univ Dresden Commun Networks Grp Dresden Germany Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781509015252

Next generation use-cases of wireless IP networks, including especially the Massive Machine Type Communications and IoT applications for the distribution of sensory and similar data will require the capability to handle large number of connections while maintaining a low-power footprint in order to function efficiently during long-term deployments. The reduction of the packetisation overhead resulting from the adaptation of header compression could potentially decrease the battery usage of network heavy applications via diminished wireless interface activity. Normally header compression is employed to minimise the overhead of IP-based cellular traffic between two connected peers. This paper presents for the first time comparative power consumption measurements for Robust Header Compression version 2 (RoHCv2) using WiFi and LTE. We find that the adoption of header compression on modern mobile devices will generally not result in increased power consumption based on the extra complexity added by the execution of the algorithms. We also show that the usage of RoHCv2 can potentially even decrease the battery drain on average by about 0.05 W when payloads are small.

关键词： Robust Header Compression Cellular networks Bandwidth savings IoT Power consumption Energy efficiency

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On the Performance Boost for Peer To Peer WebRTC-based Video Streaming with Network Coding

On the Performance Boost for Peer To Peer WebRTC-based Video...

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IEEE International Conference on Communications (ICC) / Wireless Communications Symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Braun, Patrik J. Sipos, Marton ekler, peter Fitzek, Frank H. P. Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary Tech Univ Dresden Deutsch Telekom Chair Commun Networks Dresden Germany

ISBN: (纸本)9781467389990

Video on Demand (VoD) streaming makes up an increasing portion of global IP traffic. Traditionally, data is served by content providers directly, putting a huge network load on the servers. We propose using our WebRTC-based protocols WebPeer and CodedWebPeer to create a P2P-assisted VoD streaming system with network coding. We introduce two metrics: network health to measure overall data saturation and network stability to show if the peers in the network are able to serve each other without the help of the server. We have implemented a testbed to emulate real-life network scenarios that includes a probabilistic model of peer behavior. We show through measurements that by applying network coding, network health is increased by up to 100% without changing the cache size or number of peers. Furthermore, network stability is achieved using up to half the cache compared to the uncoded approach, without increasing the servers load. Finally, to validate the scalability of our solution, we tested our protocols in a network with more than 100 tablets to deliver smooth video playback.

关键词： Protocols Servers Peer-to-peer computing Measurement Software Streaming media Network coding

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Network coding enhanced browser based Peer-to-Peer streaming

Network coding enhanced browser based Peer-to-Peer streaming

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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Braun, Patrik J. ekler, peter Fitzek, Frank Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary Tech Univ Dresden Chair Commun Network Dresden Germany

ISBN: (纸本)9781509018970

Peer-to-Peer network topology is well known for its beneficial characteristic, like good scalability high robustness. In spite of this, web browsers are still using the standard server-client topology for data download. In this paper we investigate the methods of implementing Peer-to-Peer data streaming in web browsers, using only JavaScript, without the need of any third party plugin. We are using WebRTC to establish direct browser to browser connections. With its help, we are designing two efficient protocols for browser based Peer-to-Peer streaming. The first protocol is an efficient content sharing Peer-to-Peer protocol. The second one a network coding enhanced Peer-to-Peer protocol. In order to demonstrate the characteristics of the solution and prove the advantages of it we have established a testbed. In this testbed we run several measurements to analyze the behavior and the throughput of our protocols. Through our results, we show that modern browsers are capable of maintaining Peer-to-Peer connections and carrying out complex network coding calculations. We show that employing our protocols for data streaming, average data download speed can be significantly increased and server load can be decreased up to 80%. This research can be considered as a pioneer work in the field of Peer-to-Peer solutions with network coding, based purely on web technologies.

关键词： Web browsers

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Comparing OBD and CAN Sampling on the go with the SensorHUB Framework 30

Comparing OBD and CAN Sampling on the go with the SensorHUB ...

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30th Eurosensors Conference

作者： Sik, David Balogh, Tamas ekler, peter Lengyel, Laszlo Budapest Univ Technol & Econ Magyar Tudosok Korirtja 2 H-1111 Budapest Hungary AutSoft Ltd Neumann Janos U 1Infopk A Epulet H-1117 Budapest Hungary

In this paper we present our VehicleICT platform, which we use for comparing the OBD-II and CAN bus data from vehicles. VehicleICT platform is based on the SensorHUB framework. We present a novel measurement tool called ObdCanCompare that collects vehicle sensor data and shows them on our smartphone. Meanwhile the data gets aggregated, processed and loaded into a Hadoop-based data store. There we can develop business intelligence reports, various charts and dashboards. Using the measurements our goal is to decide which interface will be used for our connected car-based application called Social Driving. (C) 2016 The Authors. Published by Elsevier Ltd.

关键词： Sensor OBD CAN ICT Vehicle BI Big Data

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On the Performance Boost for Peer To Peer WebRTC-based Video Streaming with Network Coding

On the Performance Boost for Peer To Peer WebRTC-based Video...

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IEEE International Conference on Communications

作者： Patrik J. Braun Marton Sipos peter ekler Frank H. P. Fitzek Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary Deutsche Telekom Chair of Communication Networks Technische Universität Dresden Dresden Germany

关键词： Protocols Servers Peer-to-peer computing Measurement Software Streaming media Network coding

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Efficiency Gain for RoHC Compressor Implementations with Dynamic Configuration 84

Efficiency Gain for RoHC Compressor Implementations with Dyn...

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84th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Tomoskozi, Mate Seeling, Patrick ekler, peter Fitzek, Frank H. P. Aalborg Univ Dept Elect Syst Aalborg Denmark Tech Univ Dresden Commun Networks Grp Dresden Germany Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781509017010

Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for low-latency mobile data from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage and, subsequently, transmission delays. Since Robust Header Compression, among others, is primarily designed for the compression of live audio transmissions on endpoint devices, it performs best if certain fields, like the IP ID and RTP Timestamp, stay constant or change at a predetermined rate. Moreover, the compressor expects the uncompressed stream to be loss-free as well, which might not be the case in general scenarios. We employ machine learning approaches for the prediction of Robust Header Compression version 1 ' s and version 2 ' s compression utility under various loss rates and header field dynamics. We analyse how the compressions react to different fluctuations in the headers and choose the compressor configuration which maximises utility. We show that the appropriate choice of compressor repetition configuration increases the overall utility under dynamic channel conditions, such as in the case of remote steering and various IoT applications, and finding the optimal configuration could produce significant benefits, like 1.2 speed-up in a fully utilised network.

关键词： Robust header compression Mobile multimedia Cellular networks Bandwidth savings Linear regression Machine learning

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Regression Model Building and Efficiency Prediction of RoHCv2 Compressor Implementations for VoIP 59

Regression Model Building and Efficiency Prediction of RoHCv...

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59th Annual IEEE Global Communications Conference (IEEE GLOBECOM) / Conference on Network Coding and Applications (NetCod)

作者： Toemoeskoezi, Mate Seeling, Patrick ekler, peter Fitzek, Frank H. P. Acticom GmbH Berlin Germany Aalborg Univ Dept Elect Syst Aalborg Denmark Tech Univ Dresden Commun Networks Grp Dresden Germany Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781509013289

Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for low-latency mobile data from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage and, subsequently, transmission delays. We employ machine learning approaches for the prediction of Robust Header Compression version 2' s (RFC 5225) compression utility for VoIP transmissions, which enables the compression to dynamically adapt to varying channel conditions. We evaluate the prediction models employing.. 2 and mean square error scores next to complexity (number of coefficients) based on an RTP specific training data set and a separately captured live VoIP audio call. We find that the proposed weighted Ridge regression model explains about 70 % of the training data and 72 % of a separate VoIP transmission's utility. This approach outperforms the Ridge and first-order Bayesian regressions by up to 50 % and the second and third order regressions utilising polynomial basis functions by up to 20 %, making it well-suited for utility estimation.

关键词： Robust header compression Mobile multimedia Cellular networks Bandwidth savings Linear regression Machine learning

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Orientation estimation in modern wearables with visual feature tracking

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JOURNAL ON MULTIMODAL USER INTERFACES 2015年第4期9卷 313-322页

作者： Kundra, Laszlo ekler, peter Charaf, Hassan Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

In this paper we propose and examine a robust method for orientation estimation of wearables (like Google Glass) through bias compensation of gyroscope. Through integration of raw angular rates, the resulting orientation estimate will drift, due to the non-zero bias of the measured gyroscope was also accumulated. A simple error model was constructed for the measurement capabilities of the device, in terms of inertial sensing of rotation. Using the benefits of feature point displacements (as optical flow) from the camera of the device, a sensor fusion algorithm was developed to lower, and compensate the bias. The introduced orientation estimator and bias removal method is based on adaptive reliability filter for the optical flow feature points. To fuse the remaining feature point displacements into one single value, various aggregation methods have been tested, and a maximum a-posteriori estimator was applied on the dataset. To further lower the bias from the gyroscope, the output of the system was used as a feedback to calculate a bias estimate. To measure the performance and investigate the benefits of the asynchronous work-flow, the optical flow was performed on various devices in real time. To validate the results of the simulations, real world measurements were performed with industrial robots. Our reliable, adaptive filter matched our expectations, could compensate the bias well, and the integrated output of the system had no significant drift.

关键词： Orientation estimation Gyroscope Optical flow Wearable Sensor fusion Modality-oriented CogInfoCom Augmented sensing

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Comparing OBD and CAN Sampling on the go with the SensorHUB Framework

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Procedia Engineering 2016年 168卷 39-42页

作者： David Sik Tamas Balogh peter ekler Laszlo Lengyel Budapest University of Technology and Economics Magyar tudósok körútja 2. Budapest 1111 Hungary AutSoft Ltd. Neumann János u. 1. Infopark A épület Budapest 1117 Hungary

关键词： Sensor OBD CAN ICT Vehicle BI Big Data

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