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 …
Nature-inspired algorithms for wireless sensor networks: A comprehensive survey
A Singh, S Sharma, J Singh - Computer Science Review, 2021 - Elsevier
In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …
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 survey of computational intelligence for 6G: Key technologies, applications and trends
The ongoing deployment of 5G network involves the Internet of Things (IoT) as a new
technology for the development of mobile communication, where the Internet of Everything …
technology for the development of mobile communication, where the Internet of Everything …
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Abstract The advent of Wireless Sensor Networks (WSNs) spurred a new direction of
research in agricultural and farming domain. In recent times, WSNs are widely applied in …
research in agricultural and farming domain. In recent times, WSNs are widely applied in …
Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
Incorporating intelligence in fog computing for big data analysis in smart cities
Data intensive analysis is the major challenge in smart cities because of the ubiquitous
deployment of various kinds of sensors. The natural characteristic of geodistribution requires …
deployment of various kinds of sensors. The natural characteristic of geodistribution requires …
An information framework for creating a smart city through internet of things
Increasing population density in urban centers demands adequate provision of services and
infrastructure to meet the needs of city inhabitants, encompassing residents, workers, and …
infrastructure to meet the needs of city inhabitants, encompassing residents, workers, and …
Machine learning in wireless sensor networks: Algorithms, strategies, and applications
Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …
time. This dynamic behavior is either caused by external factors or initiated by the system …
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 …