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11th International conference on Electrical and Electronics Engineering, ICEEE 2024

作者： Kilimci, Hasan Kilinc, H. Hakan Kilimci, Zeynep Hilal R&d Center Orion Innovation Turkey Istanbul Turkey Kocaeli University Department of Information Systems Engineering Kocaeli Turkey

ISBN: (纸本)9798350362541

Degradation in speech on VoIP (Voice over internet Protocol) refers to any deterioration in the quality of the audio during a VoIP call. This degradation can manifest in various forms, including distortion, delay, jitter, packet loss, echo, background noise, and so on. Detecting degradation in VoIP calls is crucial for the following several reasons such as improving user experience and satisfaction, boosting the effective communication and collaboration, impacting productivity and efficiency, allowing providers to proactively address issues and maintain service quality, helping network administrators to identify the root causes of quality issues and implementing solutions to improve performance and reliability. Overall, detecting degradation in speech on VoIP is essential for ensuring high-quality communication, maintaining customer satisfaction, and optimizing the performance of VoIP systems and networks. In this work, focus on detecting degradations on voice over VoIP using deep learning algorithms, namely, Convolutional Neural networks (CNNs), Recurrent Neural networks (RNNs), and Long Short-Term Memory networks (LSTMs). To show the effectiveness of the models, TCD- VoIP dataset is carried out during the experiments. Experiment results demonstrate that the inclusion of deep learning methodologies exhibits remarkable experiment results. © 2024 IEEE.

关键词： Customer satisfaction

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Evolutionary Reinforcement Learning for Multi-objective SFC Deployment 21

Evolutionary Reinforcement Learning for Multi-objective SFC ...

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21st IEEE International conference on Mobile Ad-Hoc and Smart systems (MASS)

作者： Zhao, Jialiang Wang, Ran Wu, Qiang Hao, Jie Xiong, Zehui Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Singapore Univ Technol & Design Singapore 487372 Singapore

ISBN: (纸本)9798350363999;9798350364002

In the 5G era, the diversification of application scenarios and the expansion of service demands necessitate a paradigm shift in mobile communication development to ensure quality of Service (QoS) for a multitude of network services, thereby enhancing user experience and optimizing network resource management. To address this, we extend the traditional single-objective optimization model of Service Function Chains (SFC) to a multi-objective optimization model, incorporating considerations such as latency, deployment cost, and throughput. However, traditional evolutionary computation struggles to optimize multiple objectives simultaneously without considering initial population quality, while Deep Reinforcement Learning (DRL) faces challenges in determining weights between multiple objectives, requiring repeated training and optimization. In this paper, we propose a two-stage solution multi-objective evolutionary reinforcement learning (MOERL) to deploy SFC. In the first stage, DRL can effectively generate excellent initial population solutions, while in the second stage, using this solution as the initial solution for NSGA-II can obtain the required placement solution and reduce computational time. Extensive experiments demonstrate that MOERL significantly reduces computational time, with its efficacy increasing as the initial population size grows. Furthermore, MOERL exhibits superior performance across three objective functions under varying request numbers, outperforming DRL by 20.9% and NSGA-II by 38.2% in computational time reduction. Thus, MOERL adeptly meets the rigorous resource and real-time demands within 5G network environments.

关键词： network Function Virtualization Service Function Chain Multi-Objective Optimization MOERL

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performance Analysis under Signal Jammer in Relay Aided Ambient Backscatter Cognitive Radio networks 31

Performance Analysis under Signal Jammer in Relay Aided Ambi...

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31st IEEE conference on Signal Processing and Communications Applications (SIU)

作者： Onay, Muhammed Yusuf Ertug, Ozgur Gazi Univ Elekt Elekt Muhendisligi Ankara Turkiye

ISBN: (纸本)9798350343557

In this study, the first system model with a single IoT (internet of Things), one relay user and the second system model with two IoT, two relay users are proposed. Both systems are considered as a cognitive radio based ambient backscatter network model, allowing users to harvest energy with the signal emitted by the power station. It is assumed that the jammer in the network deteriorates the quality of the signal reaching the receiver. The IoT device both performs active transmission using the energy it harvests and transmits data to the information receiver via backscatter. The relay user, decodes the information scattered by the IoT device and then forwards it to the receiver. In this collaborative structure, how long the IoT device will backscatter, harvest energy and actively transmit data is presented as a problem. Our goal is to maximize the number of bits reaching the information receiver. After finding the system variables through numerical analysis, the total number of bits reaching the receiver was obtained. In the results discussed, in addition to comparing both models with each other, it is considered as a benchmark in different scenarios. The results show that the increase in the number of relays and IoT clearly improves the performance.

关键词： internet of things ambient backscatter communication cognitive radio relay jammer

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Exploring the Impact of Multipath Transmission control on Alleviating Traffic Congestion 2

Exploring the Impact of Multipath Transmission Control on Al...

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2nd International conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2024

作者： Ramya, M. Balamurugan, R. Ganesh, J. St. Joseph's Institute of Technology Department of Department of Computer Science Chennai India

ISBN: (纸本)9798350327533

Despite their low resources and high node mobility, wireless mobile networks are essential to modern communication systems. Since these wireless networks don't have a physical backbone like traditional networks with a fixed base station do, it's critical to develop efficient routing strategies. The study focuses on investigating multipath routing, an idea that permits the creation of multiple paths between a source and destination node, to address these issues. The main objective of this research is to improve load balancing, quality of service, energy efficiency, and data transmission reliability through multipath routing to overcome the constraints of resource-constrained wireless networks. Nodes can easily join and leave wireless mobile networks as they move around due to their dynamic nature. Since wireless nodes have a limited transmission range, data exchange frequently necessitates multiple hops. The study essentially explores the dynamic and resource-constrained characteristics of wireless mobile networks, highlighting the importance of multipath routing to overcome obstacles and enhance different facets of network performance © 2024 IEEE.

关键词： Dynamic data exchange Energy efficiency Energy harvesting Load Balancing Multiple hope Power splitting Architecture Reliability Wireless mobile node

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Evaluating Efficient Mobile network in Picture Fuzzy Environment 1

Evaluating Efficient Mobile Network in Picture Fuzzy Environ...

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1st International conference for Women in Computing, InCoWoCo 2024

作者： Shanthi, S. Anita Elanthendral, T. Balasangu, K. Annamali University Department of Mathematics Tamilnadu Annamalainagar608002 India Government Arts and Science College for Women Department of Mathematics Tamilnadu Veppur621717 India T.K. Government Arts and College Department of Mathematics Tamilnadu Vridhachalam606001 India

ISBN: (纸本)9798331518943

Mobile or cellular networks are telecommunication networks where the links are wireless, the network distributed over land areas served by base station. These base stations provide network coverage for transmission of data, voice and other contents. Mobile networks provide telecommunication access which includes internet access through mobile data. It also provides insights on the performance of the networks, amount of data processed, associated geographies and user demographics location. Drive tests and walk tests are combined for executing detailed voice and data measurements under controlled circumstances. They determine the grade of experience of mobile networks by measuring throughput, network coverage and bandwidth to ensure high quality experience attained on the network. Mobile network drive test is a tool that helps improve performance, reliability and security of networks. Wall test requires verification of signal levels and quality of service by mobile network operator. In this paper weighted operators on IVFPF sets are defined and values acquired on applying these operators are used to compute accuracy function of IVFPF sets. It is found that Type I mobile network is the best. © 2024 IEEE.

关键词： Mobile telecommunication systems

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An Intelligent Traffic Planning using Improved Phase Timing Optimization Algorithm 4

An Intelligent Traffic Planning using Improved Phase Timing ...

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4th International conference on Artificial Intelligence and Signal Processing

作者： Sahoo, Arundhati Tripathy, Asis Kumar Vellore Inst Technol Sch Comp Sci Engn & Informat Syst Vellore Tamil Nadu India

ISBN: (纸本)9798350350661;9798350350654

Traditional urban transportation planning techniques cannot effectively deal with public transportation problems due to many factors, such as the increase in the number of urban vehicles, the current state of inefficient traffic management system, unequal resource occupation in terms of time and space, and limited resources. There is congestion among the residents, and commuting times are unpredictable. Traffic congestion raises the risk of accidents, hinders economic expansion, and raises emissions. Nowadays, many see traffic congestion as a significant danger to city living. The pain brought on by a rise in car traffic, a lack of infrastructure, and ineffective traffic control has exceeded what is reasonable. This research suggests a computer vision-based traffic control system to solve the issues mentioned above. Data on traffic is optimized by the use of Improved Phase Timing Optimization (IPTO). This study focuses on average energy consumption, average network performance, average message delivery, average latency, and average access. Virtual environments were used for the entire trial. This demonstrates that our method can contribute to increasing the effectiveness of in-car internet in the future.

关键词： Urban vehicles Intelligent traffic control systems network performance internet of Vehicles

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Guide and interact: scene-graph based generation and control of video captions

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MULTIMEDIA systems 2023年第2期29卷 797-809页

作者： Lu, Xuyang Gao, Yang Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China Beijing Engn Res Ctr High Volume Language Informa Beijing Peoples R China

internet videos contain abounding meaningful information. The task of video captioning is to extract and understand video contents from video, and summarize them into a comprehensive description including one or multiple sentences. The research of video captioning involves challenges from both video understanding and natural language generation area. Among the technical obstacles confronted with video captioning, one of the most critical issue undermining the quality of video captioning is that the model tends to generate fictional contents, which is usually called "hallucination" problem. In this paper, we present scene-graph guidance and interaction (SGI) to solve this problem. The framework of SGI is composed of a faithful scene graph generation module and a multi-modal interactive network module. The scene graph generation module extracts a faithful scene graph from video, which is then regarded as the factual guidance for the text generator. The network module attends and interacts the video features and scene graph input, and generates a video caption including the faithful video contents. On this basis, we further explore our SGI model to realize user intention-based controllable video captioning using elaborate scene graphs. We performed experiments on Charades and ActivityNet Captions datasets, the SGI model achieved state-of-the-art performance by automatic metrics, proving the high quality and outstanding controllability of video captions.

关键词： Video captioning Scene graph Multi-modal Text generation

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Information entropy-based adaptive parameter assignment method for dual control neural networks 23

Information entropy-based adaptive parameter assignment meth...

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4th International conference on Computing, networks and internet of Things, CNIOT 2023

作者： Zhang, Qianyun Sun, Shuo Han, Yongming Beijing University of Chemical Technology College of Information Science and Technology Beijing102202 China China National Nuclear Corporation The 404 Company Limited Jiayuguan735100 China

ISBN: (纸本)9798400700705

For the classical dual control neural network applied to uncertain nonlinear systems with low network modeling accuracy and initial control instability, this paper proposes an Information Entropy-based adaptive parameter Dual control Neural network (IEDC-NN). IEDC-NN can complete the tracking control of the unknown nonlinear system while the network parameters are learned and use the information cross-entropy to adjust the network parameters adaptively to improve the learning efficiency and accuracy of the neural network, which has a good suppression effect on the overfitting generated by the Dual control neural network. IEDC-NN has stronger tracking performance and a smaller cumulative error than Heuristic Certainty Equivalent control and Cautious control. © 2023 ACM.

关键词： Nonlinear systems

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Improving TCP performance via Enhanced PDCP Reordering in 5G and Beyond networks 25

Improving TCP Performance via Enhanced PDCP Reordering in 5G...

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IEEE Wireless Communications and networking conference (IEEE WCNC)

作者： Gopinath, Srihari Das Sunkada Deshmukh, Aneesh Ostwal, Nayan Vankayala, Satya Kumar Yoon, Seungil Samsung R&D Inst India Bangalore Bangalore Karnataka India Samsung Elect Suwon South Korea

ISBN: (纸本)9798350303582;9798350303599

Radio Access network (RAN) data plane systems in 5G are expected to support multiple user traffic flows demanding high throughput and low latency. With increased usage of available services and applications, a single user will tend to have multiple streams of internet Protocol (IP) flow and applications supported over a single Protocol Data Unit (PDU) session. Applications of similar quality of Service (QoS) requirements get mapped to a single Data Radio Bearer (DRB) over the RAN. Several studies have found that over 90% of total internet traffic is Transmission control Protocol (TCP) traffic. Single DRB can have multiple TCP flows in it. New Radio (NR) Packet Data Convergence Protocol (PDCP) layer delivers packets in-order to the upper layers for the configured DRB. When out-of-order packets are received, the reordering timer is triggered at PDCP and packets will wait in the reordering window until missing packets are received or the reorder timer expires. So a packet loss in one flow in the DRB can affect all the flows in the DRB and can lead to increased latency and reduced throughput in other TCP flows without loss. We propose a novel method to segregate TCP flows at a DRB in PDCP and handle data loss specific to each flow, so that flows without data loss are not impacted. When tested with multiple TCP flows under diverse loss conditions, the proposed solution yields a 4-9% reduction in average latency and round-trip time (RTT) while boosting throughput when compared to NR PDCP.

关键词： Transmission control protocol

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Wireless Street Lighting network Optimization to Alleviate Plane Earth Loss 9

Wireless Street Lighting Network Optimization to Alleviate P...

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9th International conference on Computer and Communications, ICCC 2023

作者： Yao, Jun Feng, Ray Wang, Changjie Lan, Tonny Ji, Zonny Dong, Peiliang Signify China Investment Co. Ltd. Signify Research China Shanghai China

ISBN: (纸本)9798350317251

With wireless technology is widely used in outdoor lighting control systems, the wireless network performance determines the system operation quality. The lighting pole distance and antenna height influence the wireless performance of the street lighting system due to the plane earth loss. In this paper, theoretical plane earth loss of wireless street lighting systems is analyzed. Then the hybrid wireless street lighting system is presented and the wireless link quality targets are given. Based on theoretical analysis and these targets, simulation with different parameter settings is performed. Therefore, a wireless street lighting network optimizing method by changing the antenna height or pole distance is clearly proposed to enhance the wireless network performance. © 2023 IEEE.

关键词： quality control

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