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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 …
[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 …
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 …
A survey of deep learning approaches for WiFi-based indoor positioning
One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …
been intrinsically tackled as a traditional machine learning problem since the beginning, to …
A survey of smartphone-based indoor positioning system using RF-based wireless technologies
In recent times, social and commercial interests in location-based services (LBS) are
significantly increasing due to the rise in smart devices and technologies. The global …
significantly increasing due to the rise in smart devices and technologies. The global …
Localization and detection of multiple attacks in wireless sensor networks using artificial neural network
GG Gebremariam, J Panda… - … and Mobile Computing, 2023 - Wiley Online Library
Security enhancement in wireless sensor networks (WSNs) is significant in different
applications. The advancement of routing attack localization is a crucial security research …
applications. The advancement of routing attack localization is a crucial security research …
[HTML][HTML] WiFi indoor localization with CSI fingerprinting-based random forest
Y Wang, C **u, X Zhang, D Yang - Sensors, 2018 - mdpi.com
WiFi fingerprinting indoor positioning systems have extensive applied prospects. However, a
vast amount of data in a particular environment has to be gathered to establish a …
vast amount of data in a particular environment has to be gathered to establish a …
Improving indoor fingerprinting positioning with affinity propagation clustering and weighted centroid fingerprint
Nowadays, research and development of various indoor positioning systems (IPS) have
been increasing owing to flourishing social and commercial interest in location-based …
been increasing owing to flourishing social and commercial interest in location-based …
Unveiling the cutting edge: a comprehensive survey of localization techniques in WSN, leveraging optimization and machine learning approaches
Sensor node localization is an important feature of many applications, including wireless
sensor networks and location-based services. The accurate localization of sensor nodes …
sensor networks and location-based services. The accurate localization of sensor nodes …