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检索条件"丛书名=Computer Communications and Networks"

共 4934 条记录，以下是131-140 订阅

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A Pseudo-Bayesian Subframe based Framework for Grant-Free Massive Random Access in 5G NR networks 31

A Pseudo-Bayesian Subframe based Framework for Grant-Free Ma...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Weerasinghe, Thilina N. Casares-Giner, Vicente Balapuwaduge, Indika A. M. Li, Frank Y. Vochin, Marius-Constantin Univ Ruhuna Dept Elect & Informat Engn Galle 80000 Sri Lanka Univ Politecn Valencia UPV Dept Comunicaciones Valencia 46022 Spain Univ Agder UiA Dept Informat & Commun Technol N-4898 Grimstad Norway Univ Politehn Bucharest UPB Dept Telecommunicat Bucharest 061071 Romania

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Although the number of massive machine type communications (mMTC) devices covered by a fifth generation (5G) cell could be huge, not all devices are always active. For radio resource allocation, it is vital that a base station has the knowledge on the number of active mMTC devices in each frame. In this paper, we develop a mathematical framework to perform pseudo-Bayesian estimation on the number of active devices within a 5G new radio (NR) subframe. The estimation is performed by the base station on a subframe-by-subframe basis based upon which a transmission permission probability is imposed on active devices for their transmissions in the next subframe. The active devices include both backlogged devices and new arrivals in the current subframe that will attempt for medium access in the next subframe relying on a combination of NR radio resources in both time and frequency domains. Such an estimation constitutes an important component for the design of grant-free access schemes for mMTC uplink traffic.

关键词： 5G NR frame structure active device Bayesian estimation Poisson distribution

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Differentially Private Distributed Multi-Task Relationship Learning 31

Differentially Private Distributed Multi-Task Relationship L...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Tin, Kaizhong Cheng, Xiang Ma, Yuchao Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

In many real-world applications, data are distributed across different geographical regions, and may come from different distributions which result in multiple learning tasks. In such cases, distributed multi-task learning is usually used to learn the multiple related tasks to improve the generalization performance for each task. Among the distributed multi-task learning algorithms, distributed multi-task relationship learning (DMTRL) attracts much attention in the community as it learns task relationships from data, instead of imposing a prior task relatedness assumption. To perform DMTRL, task model or its gradient is transferred between task node and central server. There will be a potential privacy violation when the distributed data are possessed by different institutes and contain sensitive information (e.g., medical records). In this paper, we propose a distributed multi-task relationship learning approach under differential privacy called DRUPE, where privacy protection is achieved through perturbing the gradients at each task node. In particular, to reduce the high variance of the perturbed gradients and achieve fast convergence rate, we develop a variance reduction based gradient calibration method, which first estimates the gradient error from the previous perturbed gradients and then calibrates the current perturbed gradient by subtracting the gradient error term. Moreover, to alleviate the negative effect caused by the inaccurate task relationships that are inferred from the private task models, we present a task relationship calibration method which uses the least-squares approximation algorithm to calibrate the inaccurate pairwise relationships between the tasks. Experimental results on realworld datasets confirm the effectiveness of our approach.

关键词： distributed multi-task relationship learning differential privacy variance reduction task relationship calibration

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An ICN-based Secure Task Cooperation Scheme in Challenging Wireless Edge networks 31

An ICN-based Secure Task Cooperation Scheme in Challenging W...

引用

31st International Conference on computer communications and networks (ICCCN)

作者： Liu, Ningchun Gao, Shuai Liang, Teng Hou, Xindi Das, Sajal K. Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China Peng Cheng Lab Dept New Networks Shenzhen Peoples R China Missouri Univ Sci Technol Dept Comp Sci Rolla MO USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Task cooperation is an effective way to execute a complex task in challenging wireless edge networks. Existing TCP/IP-based solutions encounter the problem of low network resource utilization and the heavy dependency of infrastructure connections. Information-centric networking(ICN) is a promising architecture to address these issues. In existing ICN-based task cooperation schemes, the data reuse feature of ICN improves the utilization of network resources, which also brings potential security threats to the reused data. To guarantee the security of data reuse in task cooperation without affecting the data reuse feature, we propose an ICN-based secure task cooperation scheme. In our scheme, the specific naming convention is designed to support task cooperation and the acquisition of keys. In addition, our scheme implements fine-grained access control for data reuse in task cooperation combined with attribute-based encryption. Experimental results show that our scheme enhances the security of task cooperation with low cost compared with existing schemes.

关键词： Task cooperation attribute-based encryption ICN wireless edge networks

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Server Workload Assignment for Real-Time Range Queries in Adaptive Quad Streaming Sensor Environments 31

Server Workload Assignment for Real-Time Range Queries in Ad...

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31st International Conference on computer communications and networks (ICCCN)

作者： Keller, Simon Mueller, Rainer Univ Appl Sci Fac Comp Sci Constance Germany

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Dynamic Real-Time Range Queries (DRRQ) are a common means to handle mobile clients in high-density areas where both, clients requested by the query and the inquirers, are mobile. In contrast to the very well-known continuous range queries, only a few approaches, such as Adaptive Quad Streaming (AQS), address the mandatory scalability and real-time requirements of these so-called ad-hoc mobility challenges. In this paper we present the highly decentralized solution Adaptive Quad Streaming Flexible (AQSflex) as an extension of the already existing more theoretical AQS approach. Beside a highly distributed cell structure without data structures and a lightweight streaming communication, we use a multi-cell-assignment on limited pool resources instead of an idealistic unlimited cell-per-server assignment. The described experimental results show the potential of our local capacity balancing scheme for cell handover in a strongly decentralized setting. Leafs of a cell hierarchy define a kind of self-optimizing fuzzy edge for the processing resources in high-density systems without any centralized controlling or cloud component.

关键词： automated edge performance optimization adaptive quad streaming continuous spatial range queries decentralized load balancing streaming-based decentralization scalability in high-density sensor systems

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Data-driven efficient digital signal processing over a field trial space-division multiplexed fiber-optic transmission 31

Data-driven efficient digital signal processing over a field...

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31st International Conference on computer communications and networks (ICCCN)

作者： Reyes, Luis Felipe Florenzan Smarral, Francesco Ryf, Roland Hayashi, Tetsuya Marotta, Andrea Antonelli, Cristian D'Innocenzo, Alessandro Univ Aquila Dept Informat Engn Comp Sci & Math I-67100 Laquila AQ Italy Nokia Bell Labs 791 Holmdel Rd Holmdel NJ 07733 USA Univ Aquila Dept Phys & Chem Sci I-67100 Laquila AQ Italy Sumitomo Elect Ind Ltd 1 TayachoSakaeku Yokohama Kanagawa 2448588 Japan

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

This paper discusses the use of data-driven methodologies to improve multiple-input multiple-output (MIMO) Digital Signal Processing (DSP) performance for crosstalk cancelation in optical systems supporting multiple spatial modes. A crucial problem in time-domain equalization is the large quantity of data needed to compensate the effect of the crosstalk when the signals cover a large number of kilometers. In this respect, the study of techniques that are able to reduce the amount of information needed to perform equalization is addressed, and a reduction algorithm based on the Principal Components Analysis (PCA) and cross-correlation analysis to improve traditional equalizers' performance is proposed. Experimental validation is performed over the world-first space-division multiplexed (SDM) field trial.

关键词： Multiplexing Optical fibers Urban areas Signal processing algorithms Crosstalk Digital signal processing Optical fiber networks

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Peer-to-Peer Communication Trade-Offs for Smart Grid Applications 31

Peer-to-Peer Communication Trade-Offs for Smart Grid Applica...

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31st International Conference on computer communications and networks (ICCCN)

作者： Ghosh, Purboday Shekhar, Shashank Lin, Yashen Muenz, Ulrich Karsai, Gabor Vanderbilt Univ Nashville TN 37235 USA Siemens Technol Princeton NJ USA Natl Renewable Energy Lab NREL Golden CO USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Virtual topologies in peer-to-peer networks can reduce the traffic consumed by altering the logical connectivity of peers without altering the underlying network. However, such sparsely connected virtual topologies do not focus on the needs for smart grid applications, which is information dissemination throughout the network, and in turn degrade the performance of distributed control algorithms running on peer-to-peer networks. This paper provides a flexible solution for application developers to prototype and deploy different virtual topologies that balances these trade-offs. First, it introduces a configurable virtual communication topology framework, TopLinkMgr, which enables users to specify any chosen connectivity configuration and deploy peer-to-peer applications using it. Second, it proposes a novel fault-tolerant self-adaptive virtual topology management algorithm, Bounded Path Dissemination, that can ensure the dissemination of information to all peers within a specified number of hops. Experiments show that the algorithm improves on convergence speed and accuracy over state-of-the-art methods and is also robust against node failures while consuming significantly less communication bandwidth.

关键词： Fault tolerance Network topology Heuristic algorithms Fault tolerant systems Prototypes Peer-to-peer computing Topology

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A Computing Power Resource Modeling Approach for Computing Power Network 31

A Computing Power Resource Modeling Approach for Computing P...

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31st International Conference on computer communications and networks (ICCCN)

作者： Li, Jiacong Lv, Hang Lei, Bo Xie, Yunpeng China Telecom Corp Ltd Res Inst Beijing Peoples R China

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Edge computing has been proposed to satisfy delay requirement for various applications. It brings another challenge that the collaboration problem among cloud computing, edge computing and network resources. Diversification of computing power nodes makes the optimization of resource utilization more complicated. To solve this problem, we first describe a general computing power network (CPN) framework and analyze different roles and their focuses on computing power resource. Then we propose a computing power resource modeling approach from the operator's perspective. In this paper, we quantify the computing resource, storage resource and transmission time of wireless and wired. At last, we present completion time of a calculation task to measure computing power for CPN.

关键词： CPN resource modeling edge-cloud computing

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Introducing Data Processing Units (DPU) at the Edge [Invited] 31

Introducing Data Processing Units (DPU) at the Edge [Invited...

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31st International Conference on computer communications and networks (ICCCN)

作者： Barsellotti, Luca Alhamed, Faris Olmos, Juan Jose Vegas Paolucci, Francesco Castoldi, Piero Cugini, Filippo CNIT Pisa Italy Scuola Super Sant Anna Pisa Italy NVIDIA Tel Aviv Israel

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

The recent availability of smart network interface cards (smart NICs) and Data Processing units (DPUs) providing hardware-accelerated networking and computing functionalities is opening the way towards new applications and use cases beyond the traditional data center scenarios. In this paper, three different use cases for edge scenarios that leverage on the innovative programmability enabled by DPUs are presented and discussed. The first use case focuses on a pervasive monitoring infrastructure to support accurate and decentralized network awareness for low-latency 5G services The second one focuses on the implementation of power-efficient edge-to-cloud continuum. The third use case refers to effective network security functions at the DPU.

关键词： P4 smart MC in-network functions DPU telemetry security programmability programmable data plane

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A Distributed & Lightweight Framework to Secure IoT networks Against Network Layer Attacks 31

A Distributed & Lightweight Framework to Secure IoT Networks...

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31st International Conference on computer communications and networks (ICCCN)

作者： Adina, Prasesh Shahzad, Muhammad North Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

With the advent of the Internet of Things (IoT), sensor and actuator networks, subsequently referred to as IoT networks (IoTNs), are proliferating at an unprecedented rate in several newfound areas such as smart cities, health care, and transportation, and consequently, securing them is of paramount importance. In this paper, we present NLSec, a fully distributed and lightweight framework that can detect arbitrary network layer (NL) attacks in any given IoTN, localize (i.e., identify) the compromised nodes, and mitigate the attacks by isolating the compromised nodes automatically. We also present insights obtained from an exploratory study on the effects of NL attacks on IoTNs, which guided us in designing NLSec. We demonstrate the effectiveness of NLSec through extensive experiments on a real IoTN test-bed under three well-known NL attacks.

关键词： Location awareness Measurement Protocols Smart cities Network topology Transportation Medical services

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Localizing Campus Shuttles from One Single Base Station Using LoRa Link Characteristics 31

Localizing Campus Shuttles from One Single Base Station Usin...

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31st International Conference on computer communications and networks (ICCCN)

作者： Shi, Junyang Sha, Mo SUNY Binghamton 4400 Vestal Pkwy E Binghamton NY 13902 USA Florida Int Univ Knight Fdn Sch Comp & Informat Sci 11200 SW 8th St Miami FL 33199 USA

ISBN: (数字)9781665497268

ISBN: (纸本)9781665497268

Today more and more bus companies are providing real-time bus locations to their riders to improve passenger experience and increase ridership. Most of the existing bus localization systems rely on the Global Navigation Satellite System (GNSS), such as the Global Positioning System (GPS). However, it is costly to install GNSS receivers and retrofit existing buses to power them, which prevents them to be adopted by those bus operators with tight budgets. There has been increasing interest in developing GPS-free localization schemes that leverage the wireless signals transmitted by the buses to localize them. Such schemes often require the received signal strength (RSS) measured at multiple base stations and therefore are not applicable to a small transportation service with a single base station, such as the shuttle service for a university campus. This paper presents a novel approach that leverages the LoRa link characteristics measured by a single base station and deep learning to localize a campus shuttle when it approaches a stop. Experimental results show that our solution provides a detection accuracy of no less than 92.07% and significantly outperforms all baselines without requiring new hardware and introducing additional communication overhead.

关键词： Campus Shuttle Localization LoRa Link Characteristics Deep Learning

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