Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach

Y Wang, F Shang, J Lei - Journal of Network and Computer Applications, 2023 - Elsevier
Wireless sensor networks (WSNs) have undergone rapid development but still suffer from
energy shortage issues. Meanwhile, existing energy-efficient routing approaches lack a …

Improving the software-defined wireless sensor networks routing performance using reinforcement learning

MU Younus, MK Khan, AR Bhatti - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
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 …

Energy-efficient optimization-based routing technique for wireless sensor network using machine learning

A Behura, MR Kabat - Progress in Computing, Analytics and Networking …, 2020 - Springer
Abstract Wireless Sensor Systems (WSNs) are utilized to gather the information and to
propel them to the base station and this domain is also used to design and analyse routing …

[HTML][HTML] An energy-efficient routing protocol with reinforcement learning in software-defined wireless sensor networks

D Godfrey, BK Suh, BH Lim, KC Lee, KI Kim - Sensors, 2023 - mdpi.com
The enormous increase in heterogeneous wireless devices operating in real-time
applications for Internet of Things (IoT) applications presents new challenges, including …

Efficient routing protocol for wireless sensor network based on reinforcement learning

SE Bouzid, Y Serrestou, K Raoof… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Wireless sensor nodes are battery-powered devices which makes the design of energy-
efficient Wireless Sensor Networks (WSNs) a very challenging issue. In this paper, we …

A distributed routing algorithm for data collection in low-duty-cycle wireless sensor networks

F Liu, Y Wang, M Lin, K Liu, D Wu - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
In order to prolong the lifetime of wireless sensor networks (WSNs), a low-duty-cycle mode is
widely used to save the energy for sensor nodes. Under this mode, sensor nodes switch …

[PDF][PDF] Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things

S Bhimshetty, AV Ikechukwu - Indonesian Journal of Electrical …, 2024 - researchgate.net
The internet of things (IoT) underscores pivotal real-world applications ranging from security
systems to smart infrastructure and traffic management. However, contemporary IoT devices …

WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks—A swarm intelligence and deep reinforcement learning based approach

X Yang, J Yan, D Wang, Y Xu, G Hua - Expert Systems with Applications, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSN) are a crucial part of the Internet of Things (IoT),
and research on WSN routing protocols has always been a hot topic in academia. However …

Evolutionary computing assisted wireless sensor network mining for QoS-centric and energy-efficient routing protocol

R Sunitha, J Chandrikab - International Journal of Engineering, 2020 - ije.ir
The exponential rise in wireless communication demands and allied applications have
revitalized academia-industries to develop more efficient routing protocols. Wireless Sensor …

[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 …