Results 71 to 80 of about 63,789 (293)

User-Driven Adaptive Sampling for Massive Internet of Things

IEEE Access, 2020
Energy conservation techniques are crucial to achieving high reliability in the Internet of Things (IoT) services, especially in the Massive IoT (MIoT), which stringently requires cost-effective and low-energy consumption for battery-powered devices ...
Le Kim-Hung, Quan Le-Trung
doaj   +1 more source

Bootstrapping opportunistic networks using social roles [PDF]

, 2011
Opportunistic routing protocols can enable message delivery in disconnected networks of mobile devices. To conserve energy in mobile environments, such routing protocols must minimise unnecessary message-forwarding.
Greg Bigwood, Henderson, Tristan, Tristan Henderson, Bigwood, Greg   +3 more
core   +1 more source

Aerosol Jet Printing of Benzocyclobutene as a Thermally Stable, Low‐Loss Dielectric for Multilayer Microwave Electronics

Advanced Materials Technologies, EarlyView.
Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali, Trent Moritz, Mohammad Tayeb Al Qaseer, Ethan B. Secor   +3 more
wiley   +1 more source

Wireless Communications and Networks [PDF]

, 2012
This book will provide a comprehensive technical guide covering fundamentals, recent advances and open issues in wireless communications and networks to the readers.

core   +1 more source

Liquid‐Crystal‐Based Reconfigurable Intelligent Surface for 7 GHz Mobile Communication

Advanced Materials Technologies, EarlyView.
The glass‐based liquid‐crystal reconfigurable intelligent surface (LC‐RIS) integrates active‐matrix driving and blind‐greedy phase optimization within a 5G‐NR OFDM framework. This enables continuously tunable and autonomous enhancement of wireless coverage. Leveraging the transparency and manufacturability of liquid crystal panels, it is ideally suited
Tien‐Lun Ting, Yuh‐Chyi Chang, Yi‐Chan Hung, Cheng‐Yuan Hsiao, Chao‐Kai Wen, Tsung‐Hsien Lin   +5 more
wiley   +1 more source

A Novel 5G PMN-Driven Approach for AI-Powered Irrigation and Crop Health Monitoring

IEEE Access
Precision agriculture is a crucial field that addresses food security for the growing population. This article presents an innovative approach merging deep learning with a 5G Private Mobile Network (PMN) to construct a smart agriculture system.
Tang Nguyen-Tan, Quan Le-Trung
doaj   +1 more source

ANNOT : Automated electricity data annotation using wireless sensor networks [PDF]

, 2010
Paper at 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON '10), June 21-25, 2010, BostonRecent advances in low-power wireless networking have enabled remote and nonintrusive access to ...
A. G. Ruzzelli, G. M. P. O'Hare, O'Hare, G. M. P. (Greg M. P.), Ruzzelli, Antonio G., Delaney, Declan T., D. T. Delaney, Schoofs, Anthony, A. Schoofs, A. Guerrieri, Guerrieri, A., O\u27Hare, G. M. P. (Greg M. P.)   +10 more
core   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Detection of DSCP-based traffic prioritization manipulations and their impact on network performance

Scientific Reports
Differentiated Services Code Point (DSCP) manipulations can distort bandwidth allocation, expose security risks, and degrade performance, yet they are difficult to detect in dynamic traffic. Dynamic traffic flows and sophisticated evasion strategies make
M. M. Hafizur Rahman, Mohammed Alnaeem, Adamu Abubakar Ibrahim   +2 more
doaj   +1 more source

TwinGuard: A Supervised Machine Learning Framework for DoS Attack Detection in IoT-Enabled Digital Twins Using Random Forest and Feature Selection Optimization

IEEE Access
Digital Twin (DT) technology enables real-time monitoring of Internet of Things (IoT)-integrated systems but faces severe threats from Denial-of-Service (DoS) attacks, which compromise data accuracy and operational stability.
Norah Alhamam, M. M. Hafizur Rahman, Ahmed Aljughaiman   +2 more
doaj   +1 more source