Data gathering techniques in wsn: a cross-layer view

O Gurewitz, M Shifrin, E Dvir - Sensors, 2022 - mdpi.com
Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their
applicability to a large variety of technological domains and applications, ranging from the …

CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network

V Narayan, AK Daniel - … Journal of System Assurance Engineering and …, 2022 - Springer
The sensor network facilitates easy monitoring in hazardous environments like forests war
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …

Energy Optimization‐Based Clustering Protocols in Wireless Sensor Networks and Internet of Things‐Survey

VKH Prasad, S Periyasamy - International Journal of …, 2023 - Wiley Online Library
Research on popular themes today is mainly concentrated on cutting‐edge home
applications made up of Internet of Things gadgets. As its principal means of sensing …

A Secure Framework based On Hybrid Cryptographic Scheme and Trusted Routing to Enhance the QoS of a WSN

M Sirajuddin, C Ravela, SR Krishna… - … , Technology & Applied …, 2024 - etasr.com
Abstract Achieving Quality of Service (QoS) in Wireless Sensor Networks (WSNs) is
challenging, due to their dynamic nature, and many parameters must be taken into account …

An energy-efficient data aggregation clustering algorithm for wireless sensor Networks using hybrid PSO

S Sharmin, I Ahmedy, R Md Noor - Energies, 2023 - mdpi.com
Extending the lifetime of wireless sensor networks (WSNs) and minimizing energy costs are
the two most significant concerns for data transmission. Sensor nodes are powered by their …

EERP‐DPM: energy efficient routing protocol using dual prediction model for healthcare using IoT

FA Almalki, S Ben Othman… - Journal of Healthcare …, 2021 - Wiley Online Library
Healthcare is one of the most promising domains for the application of Internet of Things‐
(IoT‐) based technologies, where patients can use wearable or implanted medical sensors …

Dual-attention assisted deep reinforcement learning algorithm for energy-efficient resource allocation in Industrial Internet of Things

Y Wang, F Shang, J Lei, X Zhu, H Qin, J Wen - Future Generation …, 2023 - Elsevier
This paper investigates the distributed resource allocation problem for energy-efficient data
forwarding in resource-constrained Industrial Internet of Things (IIoT). We formulate this …

Effectual energy optimization stratagems for wireless sensor network collections through fuzzy-based inadequate clustering

DD Rao, A Jain, S Sharma, SV Pandit, R Pandey - SN Computer …, 2024 - Springer
Abstract Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things
(IoT) landscape, serving as a backbone technology that enables myriad applications across …

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 …

A reinforcement learning-based sleep scheduling algorithm for compressive data gathering in wireless sensor networks

X Wang, H Chen, S Li - EURASIP Journal on Wireless Communications …, 2023 - Springer
Compressive data gathering (CDG) is an adequate method to reduce the amount of data
transmission, thereby decreasing energy expenditure for wireless sensor networks (WSNs) …