AI-enabled traffic control prioritization in software-defined IoT networks for smart agriculture

F Masood, WU Khan, SU Jan, J Ahmad - Sensors, 2023 - mdpi.com
Smart agricultural systems have received a great deal of interest in recent years because of
their potential for improving the efficiency and productivity of farming practices. These …

Traffic-aware secured cooperative framework for IoT-based smart monitoring in precision agriculture

I Abunadi, A Rehman, K Haseeb, L Parra, J Lloret - Sensors, 2022 - mdpi.com
In recent decades, networked smart devices and cutting-edge technology have been
exploited in many applications for the improvement of agriculture. The deployment of smart …

[HTML][HTML] Reliable paths prediction with intelligent data plane monitoring enabled reinforcement learning in SD-IoT

C Jisi, B Roh, J Ali - Journal of King Saud University-Computer and …, 2024 - Elsevier
Legacy routing with conventional distributed networking in the Internet-of-Things (IoT)
networks needs to work on efficiently handling service requests, leading to compromised …

Congestion control in cognitive IoT-based WSN network for smart agriculture

D Alghazzawi, O Bamasaq, S Bhatia, A Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
Wireless sensor networking is being used extensively in agricultural activities to increase
productivity and reduce losses in various ways. The greenhouse simplifies the concept of …

AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey

RK Singh, R Berkvens, M Weyn - IEEE Access, 2021 - ieeexplore.ieee.org
Precision Agriculture (PA) is a management strategy that utilizes communication and
information technology for farm management. It is a key to improve productivity by using the …

Dynamic iot management system using k-means machine learning for precision agriculture applications

J Stewart, R Stewart, S Kennedy - … Conference on Internet of things, Data …, 2017 - dl.acm.org
Multi-media applications for use in Precision Agriculture (PA) and Smart Farming (SM)
require Network Management Systems to deliver Quality of Service (QoS) end-to-end …

Deep reinforcement learning for the management of software-defined networks in smart farming

RS Alonso, I Sittón-Candanedo… - … Conference on Omni …, 2020 - ieeexplore.ieee.org
The Internet of Things and the millions of devices that generate and collect data through
sensors to send it to the Cloud are part of the life of users in many contexts, including smart …

Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0

N Peppes, E Daskalakis, T Alexakis, E Adamopoulou… - Sensors, 2021 - mdpi.com
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge
Information and Communication Technologies in existing operations. Various cyber threats …

A status quo of machine learning algorithms in smart agricultural systems employing IoT‐based WSN: Trends, challenges and futuristic competences

A Bhola, S Srivastava, A Noonia… - … , Big Data Analytics …, 2023 - Wiley Online Library
Wireless sensor network (WSN) is widely utilized in real‐time practices due to its low cost,
large geographical coverage, and easy deployability. The job of WSNs is to monitor a field of …

Securing smart homes via software-defined networking and low-cost traffic classification

H Gordon, C Batula, B Tushir… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
IoT devices have become popular targets for various network attacks due to their lack of
industry-wide security standards. In this work, we focus on the classification of smart home …