Results 41 to 50 of about 193 (146)

Integration of IoT, Machine Learning, and Sensors for Intelligent Environmental Monitoring and Agricultural Development

open access: yesJournal of Computer Networks and Communications, Volume 2025, Issue 1, 2025.
This paper presents an integrated framework for intelligent agricultural monitoring and development by combining Internet of Things (IoT) technology, machine learning algorithms, sensor networks and custom hardware design. A comprehensive system was developed using environmental sensors including DHT11, soil moisture probes, BMP180 pressure modules, MQ‐
Md Jahidul Hoq Emon   +4 more
wiley   +1 more source

Real‐Time IoT‐Enabled Flood Risk Prediction and Adaptive Water Redistribution With Machine Learning: A Case Study of Nigeria

open access: yesModelling and Simulation in Engineering, Volume 2025, Issue 1, 2025.
Flooding remains one of the most destructive natural disasters, causing loss of life, property damage, and economic disruption. It is a persistent challenge in Nigeria, with Mokwa Local Government Area (LGA) in Niger State being particularly vulnerable due to its location in the Lower Niger River Basin, influenced by both the River Niger and the Kaduna
Stella N. Arinze   +4 more
wiley   +1 more source

Data collection in IoT networks: Architecture, solutions, protocols and challenges

open access: yesIET Wireless Sensor Systems, Volume 14, Issue 4, Page 85-110, August 2024.
Current IoT data collection techniques are categorised and a comparative evaluation of these methods is performed based on the topics analysed and elaborated by the authors. In addition, a comprehensive analysis of recent advances in IoT data collection is provided, highlighting different data types and sources, transmission protocols from connected ...
Ado Adamou Abba Ari   +6 more
wiley   +1 more source

Tiny machine learning on the edge: A framework for transfer learning empowered unmanned aerial vehicle assisted smart farming

open access: yesIET Smart Cities, Volume 6, Issue 1, Page 10-26, March 2024.
The authors explore using IoT devices and TinyML for real‐time farming analytics implemented within a drone‐assisted transfer learning framework. It underlines the need for a balance between accuracy and complexity in model design, signalling a new direction for ML‐enabled smart agriculture and future research.
Ali M. Hayajneh   +5 more
wiley   +1 more source

Integrating Real-Time Wireless Sensor Networks into IoT Using MQTT-SN

open access: yesJournal of Network and Systems Management
Abstract Wireless Sensor Networks gradually became a mature technology that enabled the implementation of a large number of critical applications. However, the integration of such networks in much more complex systems, such as IoT, still poses a major challenge. In this paper we present a viable solution to accomplish such a difficult task by
Valentin Stangaciu   +3 more
openaire   +1 more source

Real Time Sensor Data transmission to the IoT Applications using MQTT-SN and MQTT

open access: yesInternational Journal of Recent Technology and Engineering (IJRTE), 2019
Internet of Things (IoT) Technology rapidly growing area and active research happening in different Layers of Internet protocol stacks. IOT stack have Physical layer& Data Link layer, Network Layer, Transport layer and Application layer protocols and Applications.
M Obula Reddy*, J B Seventline
openaire   +1 more source

Enhancing MQTT-SN Security with a Lightweight PUF-Based Authentication and Encrypted Channel Establishment Scheme

open access: yesSymmetry
The communication of Industrial Internet of Things (IIoT) devices faces important security and privacy challenges. With the rapid increase in the number of devices, it is difficult for traditional security mechanisms to balance performance and security.
Xiang Gong, Ting Kou, Yan Li
openaire   +1 more source

Toward the Web of Industrial Things: A Publish-Subscribe Oriented Architecture for Data and Power Management. [PDF]

open access: yesSensors (Basel), 2022
Bartoli C   +6 more
europepmc   +1 more source

Messaging Protocols for IoT Systems-A Pragmatic Comparison. [PDF]

open access: yesSensors (Basel), 2021
Wytrębowicz J, Cabaj K, Krawiec J.
europepmc   +1 more source

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