[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
[HTML][HTML] Mitigating hotspot issues in heterogeneous wireless sensor networks
Wireless Sensor Networks (WSNs) consist of a spatially distributed set of autonomous
connected sensor nodes. The deployed sensor nodes are extensively used for sensing and …
connected sensor nodes. The deployed sensor nodes are extensively used for sensing and …
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things
Pipelines are the safest tools for transporting oil and gas. However, the environmental
effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring …
effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring …
SALA-IoT: Self-reduced internet of things with learning automaton sleep scheduling algorithm
AK Sangaiah, A Javadpour, F Ja'fari… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The extensive development of wireless communications has led to the popularity of the Self-
Powered Internet of Things (SPIoT) networks. Even though significant advances made in …
Powered Internet of Things (SPIoT) networks. Even though significant advances made in …
Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks
Optimal route selection and circumventing the route deviation is essential in sensor
transmission to reach the destination properly and to save energy in sensors. Wireless …
transmission to reach the destination properly and to save energy in sensors. Wireless …
Cluster‐based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
S Sefati, M Abdi, A Ghaffari - International Journal of …, 2021 - Wiley Online Library
Since sensor nodes use limited battery power, sensor nodes power is considered to be a
challenge and fundamental issue in wireless networks. Wireless sensor networks (WSNs) …
challenge and fundamental issue in wireless networks. Wireless sensor networks (WSNs) …
Computation offloading for vehicular environments: A survey
With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …
Secure and energy-efficient uav relay communications exploiting collaborative beamforming
Unmanned aerial vehicle (UAV) is a promising communication platform to assist terrestrial
networks. In this work, we aim to provide relay communication to the blocked or low-quality …
networks. In this work, we aim to provide relay communication to the blocked or low-quality …
AI-based wormhole attack detection techniques in wireless sensor networks
The popularity of wireless sensor networks for establishing different communication systems
is increasing daily. A wireless network consists of sensors prone to various security threats …
is increasing daily. A wireless network consists of sensors prone to various security threats …