State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
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 …
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 …
A survey of machine learning-based solutions to protect privacy in the Internet of Things
Abstract The Internet of things (IoT) aims to connect everything and everyone around the
world to provide diverse applications that improve quality of life. In this technology, the …
world to provide diverse applications that improve quality of life. In this technology, the …
Large-scale indexing, discovery, and ranking for the Internet of Things (IoT)
Network-enabled sensing and actuation devices are key enablers to connect real-world
objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled …
objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled …
Rate-distortion balanced data compression for wireless sensor networks
This paper presents a data compression algorithm with error bound guarantee for wireless
sensor networks (WSNs) using compressing neural networks. The proposed algorithm …
sensor networks (WSNs) using compressing neural networks. The proposed algorithm …
Context-aware intelligence in resource-constrained IoT nodes: Opportunities and challenges
Editor's note: This article provides an academic perspective of the problem, starting with a
survey of recent advances in intelligent sensing, computation, communication, and energy …
survey of recent advances in intelligent sensing, computation, communication, and energy …
Privacy preservation using machine learning in the internet of things
The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …
everything is interconnected, and information exchange has become more easily accessible …
Data aggregation and principal component analysis in WSNs
Data aggregation plays an important role in wireless sensor networks (WSNs) as far as it
reduces power consumption and boosts the scalability of the network, especially in …
reduces power consumption and boosts the scalability of the network, especially in …
An efficient data prediction model using hybrid Harris Hawk Optimization with random forest algorithm in wireless sensor network
Abstract Wireless Sensor Networks (WSNs) are consistently gathering environmental
weather data from sensor nodes on a random basis. The wireless sensor node sends the …
weather data from sensor nodes on a random basis. The wireless sensor node sends the …