Results 51 to 60 of about 3,452 (163)

Congestion Control in CoAP Observe Group Communication

open access: yesSensors, 2019
The Constrained Application Protocol (CoAP) is a simple and lightweight machine-to-machine (M2M) protocol for constrained devices for use in lossy networks which offers a small memory capacity and limited processing.
Chanwit Suwannapong, Chatchai Khunboa
doaj   +1 more source

A Blockchain‐Less Traceability System for Agriculture Using DAG, IPFS, and Serverless Deployments

open access: yesInternational Journal of Network Management, Volume 36, Issue 3, May/June 2026.
ABSTRACT Ensuring transparency and integrity in agricultural data management is a critical challenge as the sector increasingly relies on advanced technologies. The primary problem is maintaining data traceability and security throughout the supply chain.
Antonio Villafranca   +6 more
wiley   +1 more source

Access Control in Healthcare IoT: A Comprehensive Survey

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir   +3 more
wiley   +1 more source

CoAP (Constrained Application Protocol)

open access: yes, 2020
Postoji puno bežičnih protokola za komunikaciju između uređaja, ali većina manjih uređaja nemaju učinkovit način komunikacije sa ograničenim resursima. Zato je IETF razvila lightweight protokol CoAP.
Pavlović, Ivan
core   +1 more source

Il protocollo CoAP su sistemi WiFi a basso consumo [PDF]

open access: yes, 2022
In questa tesi si descrive ed implementa il protocollo CoAP su di un modulo WiFi a basso consumo analizzando e confrontando i consumi energetici con quelli ottenuti con il protocollo HTTP in modalità IEEE802.11 Power-Saving ModeopenEmbargo per motivi di
Nicolosi, Marco
core  

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur   +2 more
wiley   +1 more source

Intraoperative cardiac function assessment by transesophageal echocardiography versus FloTrac/Vigileo™ system during pectus excavatum surgical repair

open access: yesJournal of Anesthesia, Analgesia and Critical Care, 2021
Background Pectus excavatum (PE), a congenital deformity of the chest wall, can lead to cardiac compression and related symptoms. PE surgical repair can improve cardiac function. Intraoperative transesophageal echocardiography (TEE) has been successfully
Silvia Fiorelli   +11 more
doaj   +1 more source

Representation of Surface Mixed‐Layer Eddies Affects the Large‐Scale Ventilation of the Global Ocean

open access: yesGeophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract Surface mixed‐layer dynamics play a crucial role in modulating the climate as it is the oceanic layer that directly communicates with the atmosphere. The resolution of global ocean models is, however, often restricted to O(1/4°) $\mathcal{O}(1/4{}^{\circ})$; this is too coarse to adequately resolve mixed‐layer processes, and we depend on ...
Takaya Uchida   +8 more
wiley   +1 more source

Analysis and Application of Evaluation Method on Compressors for Variable Speed Room Air Conditioners

open access: yesZhileng xuebao, 2013
The efficiency requirement of room air conditioner (RAC) has became stricter and stricter with the development of global environment consciousness.
Zhang Haifeng, Wu Jianhua, Li Yanzhong
doaj  

SAMOS Air‐Sea Fluxes: 2005–2024

open access: yesGeoscience Data Journal, Volume 13, Issue 1, January 2026.
The MarineFlux project created a dataset of air/sea turbulent fluxes for 2005–2024 using three bulk flux algorithms and input data from a collection of research vessels contributing to the Shipboard Automated Meteorological and Oceanographic Systems (SAMOS) initiative.
Marc Castells   +3 more
wiley   +1 more source

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