Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
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 …
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 …
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
Recursive principal component analysis-based data outlier detection and sensor data aggregation in IoT systems
Internet of Things (IoT) is emerging as the underlying technology of our connected society,
which enables many advanced applications. In IoT-enabled applications, information of …
which enables many advanced applications. In IoT-enabled applications, information of …
Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …
based solutions and systems is on the ascent. These technologies offer significant potential …
Traffic-aware sensor grou** for IEEE 802.11 ah networks: Regression based analysis and design
Traditional IEEE 802.11 network is designed for the use of small scale local wireless
networks. However, the emergence of the Internet of Things (IoT) has changed the scene of …
networks. However, the emergence of the Internet of Things (IoT) has changed the scene of …
[HTML][HTML] Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions
Wireless sensor networks (WSNs) have become widely ubiquitous deployed in many
application domains over the past few decades. Classical approaches configure WSNs …
application domains over the past few decades. Classical approaches configure WSNs …
Power control and trajectory planning based interference management for UAV-assisted wireless sensor networks
Wireless sensor networks are generally used to assist in collecting and transmitting data
where humans cannot directly explore. But in a scenario with complex terrestrial …
where humans cannot directly explore. But in a scenario with complex terrestrial …
Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network
GPN Hakim, D Septiyana… - Journal of Robotics and …, 2022 - journal.umy.ac.id