Results 111 to 120 of about 194,678 (236)

Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab

Symbolic Interaction, EarlyView.
How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz, Leslie DeChurch, Noshir Contractor   +2 more
wiley   +1 more source

Independent Time Transfer in 5G Technology Over IP Core Networks Using PTN Overlay and Comparison With GPS/GNSS-Based Synchronization

IEEE Access
Time synchronization is critical for 5G networks, enabling ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC).
Mustafa Serdar Osmanca, Umut Keten, Yusuf Islam Demir, Kahraman Zaim   +3 more
doaj   +1 more source

Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications

Discover Internet of Things
The rapid growth of the Internet of Things (IoT) has led to an exponential increase in connected devices, creating significant challenges for the energy efficiency of 5G networks.
Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge
doaj   +1 more source

A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks

IEEE Access, 2017
Resource allocation, or scheduling, is one of the main challenges that face supporting machine-to-machine (M2M) communications on long term evolution networks. M2M traffic has unique characteristics.
Ahmed Elhamy Mostafa, Yasser Gadallah
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Practical Synchronization Waveform for Massive Machine-Type-Communications

, 2017
A general synchronization waveform type that is insensitive to frequency error for massive Internet-of-Things (mIoT) is derived in "Robust synchronization waveform design for massive low-power IoT" (IEEE Trans. on Wireless Commun., vol. 16, no. 11, pp. 7551-7559, Nov. 2017). Detailed issues such as (1) how to obtain the frequency error information from
openaire   +2 more sources

Large-Scale NOMA: Promises for Massive Machine-Type Communication

, 2019
We investigate on large-scale deployment of non-orthogonal multiple access (NOMA) for improved spectral and power efficiency in cellular networks to provide massive wireless connectivity (e.g. for machine-type communication [mMTC]). First, we describe the basics of single-antenna NOMA technology and its extension to co-located multiple-antenna NOMA as ...
Hossain, Ekram, Al-Eryani, Yasser
openaire   +2 more sources

Joint User Activity Detection and Channel Estimation in MC-GFMA Systems by Block Sparse Bayesian Learning With Threshold Optimization

IEEE Open Journal of Vehicular Technology
Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, where many applications have the data traffic of sporadicnature ...
Yi Zhao, Mohammed El-Hajjar, Lie-Liang Yang   +2 more
doaj   +1 more source

Games and gamification projects in the Australian public sector

Australian Journal of Public Administration, EarlyView.
Abstract This article surveys the arrival of gameful government into Australian public sector practice. Gameful government is a shorthand, descriptive term denoting the interpenetration of (video)games, and design elements and thinking from them, into public sector work.
David Threlfall, Catherine Althaus
wiley   +1 more source

DIGITAL TECHNOSCIENTIFIC SOCIALITIES AS AN ENTANGLED COMMONS

International Journal of Urban and Regional Research, EarlyView.
Abstract In this contribution I examine digital technoscientific socialities through ethnographic fieldwork with Health for All, an interdisciplinary network formed at the start of the Covid‐19 outbreak. I expand the entangled commons framework for anthropological inquiry into collaborative, data‐intensive science, arguing that digital technoscientific
Lucilla Barchetta
wiley   +1 more source