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12th International conference on Cloud networking (CloudNet)

作者： Ahmed, Nurzaman Esposito, Flavio Okafor, Okwudilichukwu Shakoor, Nadia St Louis Univ Donald Danforth Plant Sci Ctr St Louis MO 63103 USA St Louis Univ Dept Comp Sci St Louis MO 63103 USA

ISBN: (纸本)9798350313062;9798350313079

networks deployed for internet of Agricultural Things (IoAT) applications are often deployed in remote areas with limited coverage and a lack of standardization across sensing devices, posing challenges to reliable connectivity and resilient data exchange. The IEEE 802.11ah standard, commonly known as Wi-Fi HaLow, offers the potential for wide coverage and support for a large number of IoAT devices. However, such protocol still faces efficiency suboptimalities in channel utilization, particularly when handling heterogeneous IoT applications with diverse quality of Service (QoS) requirements. To address these challenges, in this paper we propose SoftFarmNet, a reconfigurable IEEE 802.11ah (Wi-Fi HaLow) network management architecture, specifically designed for remote monitoring and control of agricultural-based IoAT. SoftFarmNet leverages a network traffic prediction-based slot scheduling and station grouping scheme to enhance channel utilization and support different QoS requirements of IoAT applications. The proposed architecture integrates Software-defined networking (SDN) at the edge, enabling configuration of low-level Wi-Fi HaLow parameters and the management of multiple network slices to dynamically meet application requirements. Our performance evaluation demonstrates substantial improvements in throughput, delay, and energy consumption, effectively optimizing channel usage, with respect to state-of-the-art solutions.

关键词： internet of Things internet of Agricultural Things IEEE 802.11ah Software-Defined networking quality of Service

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Energy-efficient routing protocol on public roads using real-time traffic information

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TELECOMMUNICATION systems 2023年第4期82卷 465-486页

作者： Ali, Zainab H. Ali, Hesham Arafat Kafrelsheikh Univ Fac Artificial Intelligence Dept Embedded Network Syst & Technol El Geish St Kafrelsheikh 33516 Egypt Mansoura Univ Delta Univ Sci & Technol Fac Engn Dept Comp Engn & Control Syst El Gomhoria St Mansoura Talkha 33511 Eldakahlia Egypt

Wireless technology has been significantly expanding to perform automotive services related to enhancing road networks and increasing traffic safety. internet of Vehicles (IoV), as a part of wireless sensor technology, has succeeded in making considerable progress in promoting and protecting human lives from the damage caused by traffic accidents. The road statistical reports demonstrated that utilizing data dissemination techniques in IoV to share timely information about the vehicle's position with drivers plays a key in avoiding accidents occurrence. This type of technique enables data propagation in a collaboratively and efficient manner to boost real-time performance. However, several limitations have arisen in network bandwidth usage and power consumption, as well as communication reliability with increasing packet loss probability. The main objective of this study is to present a new vehicular architecture that supports the integration of Software-Defined networks and fog computing for enhancing VANET performance. An energy-efficient and QoS-aware routing technique allowing for control of excessive dissemination of data traffic across the networks is also proposed. The simulation results show that the proposed routing protocol introduced an accurately controlling methodology in the transmission rate of data packets and communication reliability of VANET. There is a 50-60% enhancement of the whole power consumption and network throughput, depending on the implementation of the proposed geographical routing methodology.

关键词： Energy conservation Fog computing quality of service Routing methodology Software-defined-network Transmission reliability Vehicular ad hoc network

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Computer Communication network Delay and Traffic Distribution Based on Neural network Technology 6

Computer Communication Network Delay and Traffic Distributio...

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6th IEEE Information Technology, networking, Electronic and Automation control conference, ITNEC 2023

作者： Zhang, Yuling Lijiang Teachers College Lijiang China

ISBN: (纸本)9781665460033

With the rapid development of the current wireless communication and the internet, the number of mobile devices access is increasing day by day, people adapt to the mobile internet life, but also put forward higher requirements for the transmission quality and transmission rate of the wireless communication system. This paper aims to study the delay and traffic distribution of computer communication networks based on neural network technologies. This paper combines the network distribution technology and the load balancing technology to introduce the network traffic distribution mechanism in heterogeneous networks. A traffic allocation (NDBFA) algorithm based on network comprehensive delay is proposed. By analyzing the difference of the average delay variation in the heterogeneous network, correcting the shortcomings of the link delay traffic distribution algorithm, the simulation to verify that NDBFA can balance the business distribution in each network, especially in the heterogeneous network network services reach saturation throughput, the distribution algorithm has good distribution performance. A traffic allocation (LBFA) algorithm based on network load condition is proposed. This paper compares the packet delay performance and proves that the neural network prediction can effectively improve the network performance, reduce the delay of high priority services, and ensure the network quality of service. © 2023 IEEE.

关键词： Heterogeneous networks

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network Traffic Prediction and Congestion control Using a Feed Forward Neural network 12

Network Traffic Prediction and Congestion Control Using a Fe...

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12th IEEE International conference on Intelligent systems, IS 2024

作者： Nwigwe, JohnPaul Martin, Iain Ramsay, Craig University of Dundee United Kingdom

ISBN: (纸本)9798350350982

The surge in internet of Things (IoT) usage has precipitated the need to replace classical internet network prediction and congestion control methods with a more efficient and reliable learning-based approach. Many machine-learning based approaches have been offered by different studies to solve this problem but not without limitations. In this study, we propose a new feed forward neural network with a multi-channel routing congestion control system (FFNN-MCRCCS) to optimize network prediction and congestion control problem. The nodes in the proposed network are mutually connected to enable the firing of neurons in a more decentralized manner to update their weights in order to call the recursive square function to predict the traffic. The exponent value of the recursive function serves as a parameter to determine the channel with the minimum congestion threshold for packet transmission. The results of the experiment show that the proposed model has the capability to optimize network traffic for effective utilization of network resources more than the baseline and the counterpart methods. The performance evaluation metrics used for the experiment include mean square error throughput, link utilization, average jitter, settling time, queue length and network and network convergence. © 2024 IEEE.

关键词： Congestion control (communication)

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Congestion control in Streaming Services with an On-Off MPTCP Algorithm 19

Congestion Control in Streaming Services with an On-Off MPTC...

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19th conference on Computer Science and Intelligence systems

作者： Luczak, Lukasz Pioir Ignaciuk, Przcmyslaw Lodz Univ Technol Inst Informat Technol Lodz Poland

ISBN: (纸本)9798350359718;9788396960160

In this paper, by adopting the analytical framework of dynamical systems theory, a new congestion control (CC) algorithm for Multipath TCP (MPTCP) streaming services is developed. The proposed nonlinear algorithm, following an on-off principle, is formally demonstrated robust with respect to variable network conditions. It maintains stream consistency at the negotiated video rate despite a priori unknown delay fluctuations. Also, precise guidelines for buffer size allocation at the receiver are provided. The designed algorithm is compared against the established MPTCP CC algorithms: LIA, OLIA, BaLIA, and wVegas. The tests, conducted in open networks using real devices and equipment, show that the on-off controller reduces protocol delay, jitter, and Head-of-Line blocking, which is crucial for ensuring high-quality streaming in mobile networks.

关键词： MPTCP congestion control streaming applications tactile internet

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A Way to Implement network Services in a Data Center

A Way to Implement Network Services in a Data Center

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2024 Wave Electronics and its Application in Information and Telecommunication systems, WECONF 2024

作者： Buzhin, I.G. Antonova, V.M. Gnezdilov, V.S. Mironov, Yu.B. Gayfutdinov, E.A. Moscow Technical University Of Communications And Informatics Moscow Russia

ISBN: (纸本)9798350364989

In recent years, IP-fabric has often been used in data center networks, which is a set of network equipment (usually switches) interacting via control protocols, which provides unified addressing, security, etc. services, as well as data delivery along the optimal route. With such an organization, the implementation of some services is transferred to the virtualization of network functions. This article suggests an effective way to implement virtualization of network functions and deliver traffic to it in the IP fabric of a data center. The method is based on VPP (Vector Packet Processing platform) and FRR (Free Range Routing), VxLAN (Virtual extensible local area network), EVPN (Ethernet VPN) and ICMP (internet control Message Protocol) technologies. The results of test measurements of the processing of various traffic on the data plane are shown. The results of experimental tests show that on Xeon Cascade Lake core, VPP technology produces a performance of about 20 Mpps with IPv4 traffic. Combinations of IPv4 lookup, VxLAN, Encap/Decap, and ACL (Access control List) lookup processing show lower performance. © 2024 IEEE.

关键词： internet protocols

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Longitudinal-Transverse Parameter control in MV Closed Circuit Using a Thyristor Voltage and Power Regulator 10

Longitudinal-Transverse Parameter Control in MV Closed Circu...

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10th International conference on control, Decision and Information Technologies (CoDIT)

作者： Sosnina, E. Kralin, A. Bedretdinov, R. Kryukov, E. Gusev, D. Nizhnii Novgorod State Tech Univ Nizhnii Novgorod 603155 Russia

ISBN: (纸本)9798350373981;9798350373974

The article is devoted to investigate the effect of the thyristor voltage and power regulators (TVPR) output voltage under longitudinal-transverse regulation on the energy characteristics of a medium voltage (MV) closed-circuit distribution network (real and reactive power, efficiency of power transmission lines, voltage at load nodes). The research was performed using a simulation computer model developed in the Matlab Simulink program for a section of a distribution network with a TVPR. The network modes parameters change dependences have been obtained during TVPR longitudinal, transverse and longitudinal-transverse voltage regulation. It is established that in the entire range of longitudinal-transverse regulation, the efficiency of the power transmission line keeps a high value. The use of TVPR allows for a wide range of regulation of the flows of real and reactive power circulating in the network. The operating modes of the network have been determined, which make it possible to exclude overflows of real and reactive power between substations during longitudinal-transverse regulation. The use of TVPR will ensure an optimal voltage level for consumers, optimal distribution of real and reactive power flows in meshed systems, increase the power of networks, reduce real power losses during transmission.

关键词： internet of Energy thyristor voltage and power regulator power quality power flows distribution electrical network longitudinal-transverse regulation

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Communication-control Co-design for Robotic Manipulation in 5G Industrial IoT 21

Communication-Control Co-design for Robotic Manipulation in ...

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IEEE 21st International conference on Industrial Informatics (INDIN)

作者： Merwaday, Arvind Vannithamby, Rath Eisen, Mark Sudhakaran, Susruth Cavalcanti, Dave A. Frascolla, Valerio Intel Corp Intel Labs Santa Clara CA 95051 USA

ISBN: (纸本)9781665493130

Industrial internet of Things (IIoT) use cases have stringent reliability and latency requirements to enable real-time wireless control systems, which are supported by the 5G ultra-reliable low-latency communications (URLLC). However, extremely high quality-of-service (QoS) requirements in 5G URLLC causes huge radio resource consumption and low spectral efficiency, thus limiting network capacity in terms of the number of supported devices. Industrial control applications typically incorporate redundancy in their design and may not always require extreme QoS to achieve the expected control performance. Therefore, we propose both communication-control co-design and dynamic QoS to address the capacity issue for robotic manipulation use cases in 5G-based IIoT. We have developed an advanced co-simulation framework that includes a network simulator, physics simulator, and compute emulator, for realistic performance evaluation of the proposed methods. Through simulations, we show significant improvements in network capacity (i.e., the number of supported URLLC devices), and about 2x gain for the robotic manipulation use case.

关键词： dynamic QoS 5G URLLC industrial robotics 5G network simulator robotic manipulation IIoT

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A Metaheuristic Approach Towards Enhancement of network Lifetime in Wireless Sensor networks

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KSII TRANSACTIONS ON internet AND INFORMATION systems 2023年第4期17卷 1276-1295页

作者： Manoharan, J. Samuel Dept Elect & Commun Engn Nagapattinam 611102 India

Sensor networks are now an essential aspect of wireless communication, especially with the introduction of new gadgets and protocols. Their ability to be deployed anywhere, especially where human presence is undesirable, makes them perfect choices for remote observation and control. Despite their vast range of applications from home to hostile territory monitoring, limited battery power remains a limiting factor in their efficacy. To analyze and transmit data, it requires intelligent use of available battery power. Several studies have established effective routing algorithms based on clustering. However, choosing optimal cluster heads and similarity measures for clustering significantly increases computing time and cost. This work proposes and implements a simple two-phase technique of route creation and maintenance to ensure route reliability by employing nature-inspired ant colony optimization followed by the fuzzy decision engine (FDE). Benchmark methods such as PSO, ACO and GWO are compared with the proposed HRCM's performance. The objective has been focused towards establishing the superiority of proposed work amongst existing optimization methods in a standalone configuration. An average of 15% improvement in energy consumption followed by 12% improvement in latency reduction is observed in proposed hybrid model over standalone optimization methods.

关键词： Wireless sensor networks network Lifetime quality of Service Routing Meta-heuristics Throughput

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Low-Latency Live Video Streaming over a Low-Earth-Orbit Satellite network with DASH 24

Low-Latency Live Video Streaming over a Low-Earth-Orbit Sate...

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15th ACM Multimedia systems conference (ACM MMSys)

作者： Zhao, Jinwei Pan, Jianping Univ Victoria Victoria BC Canada

ISBN: (纸本)9798400704123

In light of Starlink's recent rapid growth in constructing a global low-Earth-orbit satellite constellation and offering high-speed, low-latency internet services, the implications of utilizing Starlink for low-latency live video streaming, particularly in the context of its fluctuating latency and regular satellite handovers events, remain insufficiently explored. In this paper, we conducted a thorough measurement study on the Starlink access network, examining its performance across different protocol layers and at multiple geographical installations, including locations where laser intersatellite links are utilized in practice. We performed a comprehensive latency target-based analysis of low-latency live video streaming with three state-of-the-art adaptive bitrate (ABR) algorithms in *** over Starlink. We presented a novel ABR algorithm designed for low-latency live video streaming over Starlink networks which leverages satellite handover patterns observed from measurements to dynamically adjust video bitrate and playback speed. The performance evaluation of the proposed algorithm was conducted using both a purpose-built network emulator and actual Starlink networks. The results demonstrate that the proposed algorithm effectively delivers a better quality of experience for lowlatency live video streaming over Starlink networks, characterized by low live latency, high average bitrate, minimal rebuffering events and reduced visual quality fluctuation.

关键词： DASH Starlink Low-Latency Live Streaming ABR

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