Using Deep Learning Technology Based Energy-Saving For Software Defined Wireless Sensor Networks (SDWSN) Framework
SM Alqaraghuli, O Karan - … Journal of Artificial …, 2024 - journals.mesopotamian.press
This paper discusses the significance of Wireless Sensor Networks (WSNs) in collecting
critical data from various environments, highlighting the challenges presented by the limited …
critical data from various environments, highlighting the challenges presented by the limited …
Extending wireless sensor networks' lifetimes using deep reinforcement learning in a software-defined network architecture
Routing packets in a Wireless Sensor Network (WSN) is a challenging task, according to the
limited resources available on the nodes of these networks, especially their energy sources …
limited resources available on the nodes of these networks, especially their energy sources …
Improving the software-defined wireless sensor networks routing performance using reinforcement learning
Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …
because of its flexible architecture. It is expected to become an essential enabler for the …
SSDWSN: A Scalable Software-Defined Wireless Sensor Networks
In multi-hop wireless sensor networks (WSNs), sensors operate autonomously and
independently make routing decisions. However, these devices are often located in remote …
independently make routing decisions. However, these devices are often located in remote …
[HTML][HTML] SD-EAR: Energy aware routing in software defined wireless sensor networks
A Banerjee, DMA Hussain - Applied Sciences, 2018 - mdpi.com
In today's internet-of-things (IoT) environment, wireless sensor networks (WSNs) have many
advantages, with broad applications in different areas including environmental monitoring …
advantages, with broad applications in different areas including environmental monitoring …
Analysis of energy-efficient techniques for SDWSN energy usage optimization
Software-Defined Wireless Sensor Networks (SDWSN) has received significant attention in
recent years due to its inherent challenges such as network security, trust management …
recent years due to its inherent challenges such as network security, trust management …
Enhancing Routing Performance in Software-Defined Wireless Sensor Networks through Reinforcement Learning
Abstract Software-Defined Networking (SDN) has swiftly taken over networks in data
centers, telecommunications companies, and organizations because to its programmable …
centers, telecommunications companies, and organizations because to its programmable …
Energy-efficient monitoring in software defined wireless sensor networks using reinforcement learning: A prototype
Software defined wireless networks (SDWNs) present an innovative framework for
virtualized network control and flexible architecture design of wireless sensor networks …
virtualized network control and flexible architecture design of wireless sensor networks …
[HTML][HTML] Proposition and real-time implementation of an energy-aware routing protocol for a software defined wireless sensor network
A wireless sensor network (WSN) has achieved significant importance in tracking different
physical or environmental conditions using wireless sensor nodes. Such types of networks …
physical or environmental conditions using wireless sensor nodes. Such types of networks …
A Survey on Software-Defined Wireless Sensor Networks: Current status, machine learning approaches and major challenges
Wireless Sensor Networks (WSNs), which are enablers of the Internet of Things (IoT)
technology, are typically used en-masse in widely physically distributed applications to …
technology, are typically used en-masse in widely physically distributed applications to …