Multi-objective cluster head using self-attention based progressive generative adversarial network for secured data aggregation

M Sindhuja, S Vidhya, BS Jayasri, FH Shajin - Ad Hoc Networks, 2023 - Elsevier
Wireless sensor network (WSN) combines and transmit the data in internet of things (IoT)
applications. The nodes in pervasive Wireless sensor network are battery-operated and it …

Multi‐objective cluster head‐based energy aware routing using optimized auto‐metric graph neural network for secured data aggregation in Wireless Sensor Network

A Janarthanan, V Srinivasan - International Journal of …, 2024 - Wiley Online Library
The data are combined and transmitted through wireless sensor network (WSN) in internet
of things applications. Multi‐Objective Cluster Head Based Energy Aware Routing using …

Secure and energy-aware data transmission for IoT-WSNs with the help of cluster-based secure optimal routing

V Verma, VK Jha - Wireless Personal Communications, 2024 - Springer
In a variety of applications like military, healthcare, and industrial monitoring, Internet of
Things (IoT) centered Wireless Sensor Networks (WSNs) are broadly utilized. The data is …

Cluster head based secure routing using optimized dual-discriminator conditional generative adversarial network in wireless ad-hoc networks

R Prabha, GA Senthil, SU Suganthi - Peer-to-Peer Networking and …, 2023 - Springer
Designing a routing protocol that can against the attacks of malicious nodes is very essential
because open wireless channels make a wireless ad hoc network (WAN) affected by …

LSDAR: A light-weight structure based data aggregation routing protocol with secure internet of things integrated next-generation sensor networks

K Haseeb, N Islam, T Saba, A Rehman… - Sustainable Cities and …, 2020 - Elsevier
Abstract Wireless Sensor Network (WSN) gains a lot of research devotion because of their
unique features as compared to traditional networks. The resource constraints next …

Energy-efficient data aggregation and cluster-based routing in wireless sensor networks using tasmanian fully recurrent deep learning network with pelican variable …

S Yadawad, SM Joshi - Journal of Interconnection Networks, 2023 - World Scientific
One of the major significant problems in the existing techniques in Wireless Sensor
Networks (WSNs) is Energy Efficiency (EE) because sensor nodes are battery-powered …

A reliable protocol for data aggregation and optimized routing in IoT WSNs based on machine learning

N Chandnani, CN Khairnar - Wireless Personal Communications, 2023 - Springer
Abstract Data Aggregation for IoT-WSN, based on Machine Learning (ML), allows the
Internet of Things (IoT) and Wireless Sensor Networks (WSN) to send accurate data to the …

SecDL: QoS-aware secure deep learning approach for dynamic cluster-based routing in WSN assisted IoT

S Sujanthi, S Nithya Kalyani - Wireless Personal Communications, 2020 - Springer
In WSN-assisted IoT, energy efficiency and security which play pivotal role in Quality of
Service (QoS) are still challenging due to its open and resource constrained nature …

[HTML][HTML] Reliable cluster based data aggregation scheme for IoT network using hybrid deep learning techniques

G Ravi, MS Das, K Karmakonda - Measurement: Sensors, 2023 - Elsevier
Abstract Background Several IoT nodes are deployed in the monitoring environment to
ensure reliability. In both sensor and sink nodes, the same data is sensed and forwarded …

Energy optimized data fusion approach for scalable wireless sensor network using deep learning-based scheme

T Mahmood, J Li, T Saba, A Rehman, S Ali - Journal of Network and …, 2024 - Elsevier
Energy efficiency and security are critical components of Quality of Service (QoS) and
remain a challenge in WSN-assisted IoT owing to its open and resource-limited nature …