Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Deep learning challenges and prospects in wireless sensor network deployment
Y Qiu, L Ma, R Priyadarshi - Archives of Computational Methods in …, 2024 - Springer
This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
A quantum annealing bat algorithm for node localization in wireless sensor networks
S Yu, J Zhu, C Lv - Sensors, 2023 - mdpi.com
Node localization in two-dimensional (2D) and three-dimensional (3D) space for wireless
sensor networks (WSNs) remains a hot research topic. To improve the localization accuracy …
sensor networks (WSNs) remains a hot research topic. To improve the localization accuracy …
EES-WCA: energy efficient and secure weighted clustering for WSN using machine learning approach
P Gulganwa, S Jain - International Journal of Information Technology, 2022 - Springer
Abstract The Wireless Sensor Network (WSN) is an application-centric network, where the
data is collected using sensor nodes and communicated to the server or base station to …
data is collected using sensor nodes and communicated to the server or base station to …
End-to-end data delivery reliability model for estimating and optimizing the link quality of industrial WSNs
With the success of wireless sensor networks (WSNs), traditional engineering and
infrastructure industries are starting to develop solutions using WSN technologies. One of …
infrastructure industries are starting to develop solutions using WSN technologies. One of …
Machine learning for wireless link quality estimation: A survey
Since the emergence of wireless communication networks, a plethora of research papers
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
A reliable multipath routing protocol based on link quality and stability for MANETs in urban areas
A mobile ad hoc network (MANET) is a set of mobile and self-organizing nodes that
cooperate to create dynamic network architecture to establish communications. Its …
cooperate to create dynamic network architecture to establish communications. Its …
Smart grid stability prediction model using neural networks to handle missing inputs
A smart grid is a modern electricity system enabling a bidirectional flow of communication
that works on the notion of demand response. The stability prediction of the smart grid …
that works on the notion of demand response. The stability prediction of the smart grid …
Neural network based instant parameter prediction for wireless sensor network optimization models
Optimal operation configuration of a Wireless Sensor Network (WSN) can be determined by
utilizing exact mathematical programming techniques such as Mixed Integer Programming …
utilizing exact mathematical programming techniques such as Mixed Integer Programming …