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Relevant bibliographies by topics / Cooperative bandwidth aggregation

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Academic literature on the topic 'Cooperative bandwidth aggregation'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Cooperative bandwidth aggregation"

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Wang, Xueying, Yan Guo, Juliang Cao, Meiping Wu, Zhenqian Sun, and Chubing Lv. "Simplify Belief Propagation and Variation Expectation Maximization for Distributed Cooperative Localization." Applied Sciences 12, no. 8 (2022): 3851. http://dx.doi.org/10.3390/app12083851.

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Only a specific location can make sensor data useful. The paper presents an simplify belief propagation and variation expectation maximization (SBPVEM) algorithm to achieve node localization by cooperating with another target node while lowering communication costs in a challenging environment where the anchor is sparse. A simplified belief propagation algorithm is proposed as the overall reasoning framework by modeling the cooperative localization problem as a graph model. The high-aggregation sampling and variation expectation–maximization algorithm is applied to sample and fit the complicat

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Chen, Ningjiang, Weitao Liu, Wenjuan Pu, Yifei Liu, and Qingwei Zhong. "SDNC-Repair: A Cooperative Data Repair Strategy Based on Erasure Code for Software-Defined Storage." Sensors 23, no. 13 (2023): 5809. http://dx.doi.org/10.3390/s23135809.

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Erasure-code-based storage systems suffer from problems such as long repair time and low I/O performance, resulting in high repair costs. For many years, researchers have focused on reducing the cost of repairing erasure-code-based storage systems. In this study, we discuss the demerits of node selecting, data transferring and data repair in erasure-code-based storage systems. Based on the network topology and node structure, we propose SDNC-Repair, a cooperative data repair strategy based on erasure code for SDS (Software Defined Storage), and describe its framework. Then, we propose a data s

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Liu, Yazhi, Dongyu Wei, Chunyang Zhang, and Wei Li. "Distributed Bandwidth Allocation Strategy for QoE Fairness of Multiple Video Streams in Bottleneck Links." Future Internet 14, no. 5 (2022): 152. http://dx.doi.org/10.3390/fi14050152.

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In QoE fairness optimization of multiple video streams, a distributed video stream fairness scheduling strategy based on federated deep reinforcement learning is designed to address the problem of low bandwidth utilization due to unfair bandwidth allocation and the problematic convergence of distributed algorithms in cooperative control of multiple video streams. The proposed strategy predicts a reasonable bandwidth allocation weight for the current video stream according to its player state and the global characteristics provided by the server. Then the congestion control protocol allocates t

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Chen, Lien-Wu, Yu-Hao Peng, Yu-Chee Tseng, and Ming-Fong Tsai. "Cooperative Sensing Data Collection and Distribution with Packet Collision Avoidance in Mobile Long-Thin Networks." Sensors 18, no. 10 (2018): 3588. http://dx.doi.org/10.3390/s18103588.

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Mobile ad hoc networks (MANETs) have gained a lot of interests in research communities for the infrastructure-less self-organizing nature. A MANET with fleet cyclists using smartphones forms a two-tier mobile long-thin network (MLTN) along a common cycling route, where the high-tier network is composed of 3G/LTE interfaces and the low-tier network is composed of IEEE 802.11 interfaces. The low-tier network may consist of several path-like networks. This work investigates cooperative sensing data collection and distribution with packet collision avoidance in a two-tier MLTN. As numbers of cycli

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Huang, Chung-Ming, Chia-Ching Yang, and Yu-Cheng Lin. "An Adaptive Video Streaming System Over a Cooperative Fleet of Vehicles Using the Mobile Bandwidth Aggregation Approach." IEEE Systems Journal 10, no. 2 (2016): 568–79. http://dx.doi.org/10.1109/jsyst.2014.2326002.

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Negrão, André Pessoa, João Costa, Paulo Ferreira, and Luís Veiga. "Interest Aware Consistency for Cooperative Editing in Heterogeneous Environments." International Journal of Cooperative Information Systems 23, no. 01 (2014): 1440002. http://dx.doi.org/10.1142/s0218843014400024.

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Cooperative editing applications enable geographically distributed users to concurrently edit a shared document space over a computer network. These applications present several technical challenges related to the scalability of the system and the promptness with which relevant updates are disseminated to the concerned users. This paper presents Cooperative Semantic Locality Awareness (CoopSLA), a consistency model for cooperative editing applications that is scalable and efficient with regards to user needs. In CoopSLA, updates to different parts of the document have different priorities, dep

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Qin, Jiuren, Zhaoxue Wang, Kai Gao, and Lujie Zhong. "Failure-Aware and Delay-Predicted Multipath Virtual Queue Scheduling for Multimedia Transmission in Edge IoT." Mobile Information Systems 2020 (November 26, 2020): 1–12. http://dx.doi.org/10.1155/2020/6673134.

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The spread of Edge Internet of Things (IoT) radically changes our lifestyle. However, the multimedia services in edge IoT are still stuck by inefficiency. The dynamic typologies perplex the transmission of massive real-time data. To solve this problem, multipath transmission control protocol (MPTCP) which has a natural advantage in transmission robustness and bandwidth aggregation is becoming a good choice. In this paper, failure-aware and delay-predicted multipath virtual queue scheduling (FD-MVQS) is proposed to optimize the MPTCP performance in edge IoT. FD-MVQS constructs a two-plane coope

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Xing, Ling, Zhaocheng Luo, Kaikai Deng, Honghai Wu, Huahong Ma, and Xiaoying Lu. "FedHSQA: Robust Aggregation in Hierarchical Federated Learning via Anomaly Scoring-Based Adaptive Quantization for IoV." Electronics 14, no. 8 (2025): 1661. https://doi.org/10.3390/electronics14081661.

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Hierarchical Federated Learning (HFL) for the Internet of Vehicles (IoV) leverages roadside units (RSU) to construct a low-latency, highly scalable multilayer cooperative training framework. However, with the rapid growth in the number of vehicle nodes, this framework faces two major challenges: (i) communication inefficiency under bandwidth-constrained conditions, where uplink congestion imposes significant burden on intra-framework communication; and (ii) interference from untrustworthy vehicle nodes, which disrupts model training and affects convergence. Therefore, in order to achieve secur

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Fang, Chao, Tianyi Zhang, Jingjing Huang, et al. "A DRL-Driven Intelligent Optimization Strategy for Resource Allocation in Cloud-Edge-End Cooperation Environments." Symmetry 14, no. 10 (2022): 2120. http://dx.doi.org/10.3390/sym14102120.

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Complex dynamic services and heterogeneous network environments make the asymmetrical control a curial issue to handle on the Internet. With the advent of the Internet of Things (IoT) and the fifth generation (5G), the emerging network applications lead to the explosive growth of mobile traffic while bringing forward more challenging service requirements to future radio access networks. Therefore, how to effectively allocate limited heterogeneous network resources to improve content delivery for massive application services to ensure network quality of service (QoS) becomes particularly urgent

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Liu, Zhenpeng, Zilin Gao, Jingyi Wang, Qiannan Liu, and Jianhang Wei. "PPEFL: An Edge Federated Learning Architecture with Privacy-Preserving Mechanism." Wireless Communications and Mobile Computing 2022 (November 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/1657558.

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The emergence of federal learning makes up for some shortcomings of machine learning, and its distributed machine learning paradigm can effectively solve the problem of data islands, allowing users to collaboratively model without sharing data. Clients only need to train locally and upload model parameters. However, the computational power and resources of local users are frequently restricted, and ML consumes a large amount of computer resources and generates enormous communication consumption. Edge computing is characterized by low latency and low bandwidth, which makes it possible to offloa

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Dissertations / Theses on the topic "Cooperative bandwidth aggregation"

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DUAN, YUFENG. "Cooperative data transfers for 5G networks." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2667613.

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The demand for higher capacity, higher data rate and larger bandwidth has driven the research and industrial world to develop next generation wireless communication technology, namely, the 5G. Among all the approaches proposed for such a high demand, only the cooperative communication approach promises to significantly improve of the performances (capacity, data rate, bandwidth, etc.) with a low cost. In this thesis, we propose a D2D communication scheme as a solution for the out-door scenario and a cooperative scheme among the access infrastructures as the in-door scenario solution. In the f

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Hsiao-YuLin and 林孝諭. "A K-hop Member-based Cooperative Video Streaming System Using the Bandwidth Aggregation Scheme over Vehicular Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/46703241528619335784.

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ChingYang, Chia, and 楊嘉慶. "QoS-awarely cooperative video streaming control protocols using wireless mobile networks’ bandwidth aggregation schemes over vehicular networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64245912351872921061.

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博士<br>國立成功大學<br>資訊工程學系<br>102<br>With the development of vehicular networks, new types of networking services arise for automotive users. Since vehicles have high mobility, it is difficult to keep stable and reliable network connections between vehicles. With regard to multimedia streaming services, a vehicle may not have good QoS of video streaming using its own individual 3G/3.5G wireless interface. This dissertation is motivated to investigate the cooperative streaming scenario in the vehicular network. When a vehicle, which is called requester, requests a video stream from the Internet us

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Book chapters on the topic "Cooperative bandwidth aggregation"

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Taghikhaki, Zahra, Yang Zhang, Nirvana Meratnia, and Paul J. M. Havinga. "QoS-Aware Chain-Based Data Aggregation in Cooperating Vehicular Communication Networks and Wireless Sensor Networks." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch044.

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Vehicular Communication Networks (VCNs) and Wireless Sensor Networks (WSNs) are emerging types of networks, which have individually been extensively explored. However, their cooperation and exploring advantages offered by their integration are poorly explored. Such integration helps better investigate impacts of human mobility and transportation behaviors on safety and well-being of cities, their residents, their surrounding environments, and ecology. In this chapter, the authors propose a QoS-Aware Chain-based data Aggregation (QoS-ACA) technique for wireless sensor networks cooperating with

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Conference papers on the topic "Cooperative bandwidth aggregation"

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Huang, Chung-Ming, Chia-Ching Yang, and Hsiao-Yu Lin. "A Bandwidth Aggregation Scheme for Member-Based Cooperative Networking over the Hybrid VANET." In 2011 IEEE 17th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2011. http://dx.doi.org/10.1109/icpads.2011.1.

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