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Collaborative sensing in internet of things: A comprehensive survey
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Q Li - Expert Systems with Applications, 2023 - Elsevier
Sparse regularization has been attracting much attention in industrial applications over the
past few decades. By exploiting the latent data structure in low-dimensional subspaces, a …
past few decades. By exploiting the latent data structure in low-dimensional subspaces, a …
AoI-minimal trajectory planning and data collection in UAV-assisted wireless powered IoT networks
This article investigates the unmanned aerial vehicle (UAV)-assisted wireless powered
Internet-of-Things system, where a UAV takes off from a data center, flies to each of the …
Internet-of-Things system, where a UAV takes off from a data center, flies to each of the …
An iot-based design using accelerometers in animal behavior recognition systems
Cow behavior recognition systems support the assessment of cows' condition by providing
their behavior information. Accelerometers are particularly suited for a non-invasive solution …
their behavior information. Accelerometers are particularly suited for a non-invasive solution …
Mobile crowd-sensing applications: Data redundancies, challenges, and solutions
TN Nguyen, S Zeadally - ACM Transactions on Internet Technology …, 2021 - dl.acm.org
Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer
from disadvantages such as deployment location limitation, geographical distance, as well …
from disadvantages such as deployment location limitation, geographical distance, as well …
AoI-minimal task assignment and trajectory optimization in multi-UAV-assisted IoT networks
C Liu, Y Guo, N Li, X Song - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
This article investigates an unmanned-aerial-vehicle (UAV)-assisted Internet of Things
system, where multiple UAVs take off from a data center (DC), collect data from multiple …
system, where multiple UAVs take off from a data center (DC), collect data from multiple …
Combined sensor selection and node location optimization for reducing the localization uncertainties in wireless sensor networks
Abstract Local Positioning Systems (LPS) address the limitations of Global Navigation
Satellite Systems in harsh environments. LPS must attain the optimal location of their …
Satellite Systems in harsh environments. LPS must attain the optimal location of their …
Load-balance scheduling for intelligent sensors deployment in industrial internet of things
Abstract The Industrial Internet of Things uses intelligent sensors to collect the physical
properties of objects placed on a large area. It provides innovative service and network …
properties of objects placed on a large area. It provides innovative service and network …
A low-cost real-time IoT human activity recognition system based on wearable sensor and the supervised learning algorithms
Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …
of health conditions. Among approaches of activity recognition systems were researched …
Distributed node deployment algorithms in mobile wireless sensor networks: Survey and challenges
M Sadeghi Ghahroudi, A Shahrabi… - ACM Transactions on …, 2023 - dl.acm.org
From the coverage and connectivity perspective, a wide range of applications in wireless
sensor networks rely on node deployment algorithms to accomplish their functionalities. This …
sensor networks rely on node deployment algorithms to accomplish their functionalities. This …