IEEE NETWORKIEEE网络
IEEE NETWORK(英文缩写 IEEE NETWORK),ISSN 0890-8044,eISSN 1558-156X,中文译名:IEEE网络 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 10.294 | Q1 |
| 2022 | 9.300 | Q1 |
| 2023 | 6.800 | Q1 |
| 2024 | 6.300 | Q1 |
| 2025 | 8.800 | Q1 |
IEEE NETWORK 最新收录文献
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1. 5G-Enabled Healthcare in Mobile Scenarios: Challenges and Implementation Considerations.
1. 移动场景中基于5G的医疗保健：挑战与实施考量PMID:日期:2023-01-30Wireless connectivity delay, disruption, or failure can significantly affect the performance of wireless-enabled medical devices, which in turn causes potential risks to the patient. Notably, the challenges related to connectivity provisioning are exacerbated in the fifth-generation (5G)-enabled healthcare use cases where mobility is utilized. In this article, we describe relevant 5G-enabled healthcare use cases involving mobility and identify the connectivity challenges that they face. We then illustrate practical implementation considerations, tradeoffs, and future research directions for enabling reliable 5G healthcare transmissions. This is done through simulation of connected ambulances as an example use-case.
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2. Service Level Agreements for 5G-Enabled Healthcare Systems: Challenges and Considerations.
2. 面向5G医疗系统的服务等级协议：挑战与考量PMID:日期:2021-12-215G and Beyond 5G (B5G) communication networks, with their characteristics of increasing speed, connectivity, reliability, availability and capacity while reducing latency, have the potential to transform the healthcare sector by opening possibilities for novel healthcare use cases and applications. Service level agreements (SLAs) can help enable these new healthcare use cases by documenting the communication requirements, performance standards, and roles and responsibilities of the stakeholders involved in providing safe and effective 5G-enabled healthcare to patients. However, the peculiarities and nuances of 5G implementations give rise to gaps in this area that should be addressed to streamline the implementation of 5G technology in healthcare. This magazine article highlights the key challenges and describes open research questions related to SLAs for 5G-healthcare systems. Addressing the research challenges in this space will help in developing robust SLAs that can ensure that device manufacturers, network service providers, users, and regulatory authorities share a common framework to safely integrate 5G & B5G technology in healthcare.
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3. DeepNetQoE: Self-Adaptive QoE Optimization Framework of Deep Networks.
3. DeepNetQoE：深度网络的自适应QoE优化框架PMID:日期:2021-06-01Future advances in deep learning and its impact on the development of artificial intelligence (AI) in all fields depend heavily on data size and computational power. Sacrificing massive computing resources in exchange for better precision rates of the network model is recognized by many researchers. This leads to huge computing consumption, while satisfactory results are not always expected when computing resources are limited. Therefore, it is necessary to find a balance between resources and model performance to achieve satisfactory results. This article proposes a self-adaptive quality of experience (QoE) framework, DeepNetQoE, to guide the training of deep networks. A self-adaptive QoE model is set up that relates the model's accuracy with the computing resources required for training which will allow the experience value of the model to improve. To maximize the experience value, a resource allocation model and solutions need to be established. Finally, we carry out experiments based on four network models to analyze the experience values with respect to the crowd counting example. Experimental results show that the proposed DeepNetQoE is capable of adaptively obtaining a high experience value according to user requirements and therefore guiding users to determine the computational resources allocated to the network models.
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4. {"_":": A Named Data Networking Time Protocol.","i":["NDNTP"]}
PMID:日期:2020-09-01Named Data Networking (NDN) architectural features, including multicast data delivery, stateful forwarding, and in-network data caching, have shown promise for applications such as video streaming and file sharing. However, collaborative applications, requiring a multi-producer participation introduce new NDN design challenges. In this paper, we highlight these challenges in the context of the Network Time Protocol (NTP) and one of its most widely-used deployments for NTP server discovery, the NTP pool project. We discuss the design requirements for the support of NTP and NTP pool and present general directions for the design of a time synchronization protocol over NDN, coined Named Data Networking Time Protocol ().
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5. Compute-Less Networking: Perspectives, Challenges, and Opportunities.
5. 计算较少网络：视角、挑战与机遇PMID:日期:2020-08-12Delay-sensitive applications have been driving the move away from cloud computing, which cannot meet their low-latency requirements. Edge computing and programmable switches have been among the first steps toward pushing computation closer to end-users in order to reduce cost, latency, and overall resource utilization. This article presents the "compute-less" paradigm, which builds on top of the well known edge computing paradigm through a set of communication and computation optimization mechanisms (e.g.,, in-network computing, task clustering and aggregation, computation reuse). The main objective of the compute-less paradigm is to reduce the migration of computation and the usage of network and computing resources, while maintaining high Quality of Experience for end-users. We discuss the new perspectives, challenges, limitations, and opportunities of this compute-less paradigm.
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6. 1997-2017 Leading Causes of Death Information Due to Diabetes, Neoplasms, and Diseases of the Circulatory System, Issues Cautionary Weight-Related Lesson to the US Population at Large.
6. 1997-2017年糖尿病、肿瘤和循环系统疾病导致的主要死亡原因信息，向广大美国人口提供与体重相关的警示教训PMID:日期:2019-10-10In the US, cardiovascular disease, cancer, and diabetes are in the top ten leading causes of death categories. The diseases compromise US life-expectancy and account for significant US health-care costs. This observational study investigates the US population's 1997-2017 Centers for Disease Control and Prevention (CDC) WONDER ICD-10 mortality records to extract the prevalence rates for leading causes of death by diabetes, neoplasms (cancers), and diseases of the circulatory system. The variables of race and age are examined for each disease in order to evaluate demographic and age-group risks. To document the public health burden from these three chronic conditions, mortality data from CDC WONDER was analyzed using MS-Excel and Statistical Analysis System (SAS) software. The general trend of deaths by diabetes, neoplasms, and diseases of the circulatory system has been progressively decreasing nationally; however, a significantly higher trend in mortality rates is observed for the Black or African American populations. Furthermore, over the 1997-2017 observational period, the crude mortality rates for the 45-54 (middle-age) and lower age-groups are below national mortality rate averages but are troublingly increasing for diabetes and notably, for the diseases of the circulatory system, the (younger) 25-34 age-group had a crude mortality rate increase of 6.78%.
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7. A Magnetic Resonance Compatible E4D Ultrasound Probe for Motion Management of Radiation Therapy.
7. 一种用于放射治疗运动管理的磁共振兼容E4D超声探头PMID:日期:2017-11-02We developed a magnetic resonance compatible real-time, three-dimensional imaging ultrasound probe for motion management of radiation therapy for liver cancer. The probe contains an 18,000-element, 46.8 mm × 21.5 mm matrix array constructed from three tiled transducer modules with integrated beamforming ASICs. The center frequency and -6 dB fractional bandwidth of the probe was 3.6 MHz and 85 percent respectively. Ferromagnetic materials in the acoustic stack, flex interconnect and electronics boards were greatly minimized for magnetic resonance compatibility. The probe and cable were shielded to minimize the impact of radiofrequency noise on both the ultrasound and magnetic resonance images. The probe's low-profile, side-viewing design allows it to be strapped to a patient so that images may be acquired hands-free. We present simultaneously acquired ultrasound and 3 Tesla magnetic resonance images with minimal artifacts in both images.
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8. Wireless Infrastructure M2M Network For Distributed Power Grid Monitoring.
8. 用于分布式电网监测的无线基础设施M2M网络PMID:日期:2017-09-28With the massive integration of distributed renewable energy sources (RESs) into the power system, the demand for timely and reliable network quality monitoring, control, and fault analysis is rapidly growing. Following the successful deployment of Phasor Measurement Units (PMUs) in transmission systems for power monitoring, a new opportunity to utilize PMU measurement data for power quality assessment in distribution grid systems is emerging. The main problem however, is that a distribution grid system does not normally have the support of an infrastructure network. Therefore, the main objective in this paper is to develop a Machine-to-Machine (M2M) communication network that can support wide ranging sensory data, including high rate synchrophasor data for real-time communication. In particular, we evaluate the suitability of the emerging IEEE 802.11ah standard by exploiting its important features, such as classifying the power grid sensory data into different categories according to their traffic characteristics. For performance evaluation we use our hardware in the loop grid communication network testbed to access the performance of the network.
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9. Network Coding in Relay-based Device-to-Device Communications.
9. 基于中继的设备到设备通信中的网络编码PMID:日期:2017-07-28Device-to-Device (D2D) communications has been realized as an effective means to improve network throughput, reduce transmission latency, and extend cellular coverage in 5G systems. Network coding is a well-established technique known for its capability to reduce the number of retransmissions. In this article, we review state-of-the-art network coding in relay-based D2D communications, in terms of application scenarios and network coding techniques. We then apply two representative network coding techniques to dual-hop D2D communications and present an efficient relay node selecting mechanism as a case study. We also outline potential future research directions, according to the current research challenges. Our intention is to provide researchers and practitioners with a comprehensive overview of the current research status in this area and hope that this article may motivate more researchers to participate in developing network coding techniques for different relay-based D2D communications scenarios.
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10. Mapping the ECG in the live rabbit heart using Ultrasound Current Source Density Imaging with coded excitation.
PMID:日期:2012-10Ultrasound current source density imaging (UCSDI) is a noninvasive technique for mapping electric current fields in 4D (space + time) with the resolution of ultrasound imaging. This approach can potentially overcome limitations of conventional electrical mapping procedures often used during treatment of cardiac arrhythmia or epilepsy. However, at physiologic currents, the detected acoustoelectric (AE) interaction signal in tissue is very weak. In this work, we evaluated coded ultrasound excitation (chirps) for improving the sensitivity of UCSDI for mapping the electrocardiogram (ECG) in a live rabbit heart preparation. Results confirmed that chirps improved detection of the AE signal by as much as 6.1 dB compared to a square pulse. We further demonstrated mapping the ECG using a clinical intracardiac catheter, 1 MHz ultrasound transducer and coded excitation. B-mode pulse echo and UCSDI revealed regions of high current flow in the heart wall during the peak of the ECG. These improvements to UCSDI are important steps towards translation of this new technology to the clinic for rapidly mapping the cardiac activation wave.