Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

A systematic review of location aware schemes in the Internet of Things

MA Khan, A Saboor, H Kim, H Park - Sensors, 2021 - mdpi.com
The rapid development in wireless technologies is positioning the Internet of Things (IoT) as
an essential part of our daily lives. Localization is one of the most attractive applications …

Indoor localization based on factor graphs: A unified framework

L Yang, N Wu, B Li, W Yuan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Indoor localization is of pivotal significance for a wide variety of services in the context of the
Internet of Things (IoT). Both ranging-based and fingerprint-based localization techniques …

Performance evaluation of range-free localization algorithms for wireless sensor networks

I Nemer, T Sheltami, E Shakshuki, AA Elkhail… - Personal and Ubiquitous …, 2021 - Springer
Wireless sensor network (WSN) consists of a number of nodes that are mostly distributed in
a random way to monitor or control different phenomena, such as military operations …

Time-efficient target tags information collection in large-scale RFID systems

X Liu, J Yin, S Zhang, B Xiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
By integrating the micro-sensor on RFID tags to obtain the environment information, the
sensor-augmented RFID system greatly supports the applications that are sensitive to …

A non-conventional lightweight Auto Regressive Neural Network for accurate and energy efficient target tracking in Wireless Sensor Network

J Munjani, M Joshi - ISA transactions, 2021 - Elsevier
The design of an energy-efficient tracking framework is a well-investigated issue and a
prominent sensor network application. The current research state shows a clear scope for …

A hybrid genetic algorithm with bidirectional mutation for maximizing lifetime of heterogeneous wireless sensor networks

J Li, Z Luo, J Xiao - IEEE Access, 2020 - ieeexplore.ieee.org
Sleep scheduling is an effective mechanism to extend the lifetime of energy-constrained
Wireless Sensor Networks (WSNs). It is often that the sensors are divided into sets with …

[PDF][PDF] An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting.

E Scavino, MA Abd Rahman… - Computers, Materials & …, 2023 - cdn.techscience.cn
Accurate location or positioning of people and self-driven devices in large indoor
environments has become an important necessity The application of increasingly automated …

Indoor tracking using auxiliary particle filter and deep learning in wireless sensor networks

H Razavi, H Amindavar, H Aghaeinia - Ad Hoc Networks, 2024 - Elsevier
The low-cost received signal strength indicators (RSSIs) are commonly employed in indoor
tracking using various state estimation methods, including particle filters (PFs). In the context …

Indoor multi-floor 3D target tracking based on the multi-sensor fusion

J Luo, C Zhang, C Wang - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, indoor target tracking based on pedestrian dead reckoning (PDR) and the
built-in inertial sensors of smartphone has become a research hotspot in location-based …