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Machine learning for advanced wireless sensor networks: A review
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
[HTML][HTML] Data gathering techniques in wsn: a cross-layer view
Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their
applicability to a large variety of technological domains and applications, ranging from the …
applicability to a large variety of technological domains and applications, ranging from the …
Transmission-efficient grid-based synchronized model for routing in wireless sensor networks using Bayesian compressive sensing
The concept of compressed sensing in wireless sensor networks (WSNs) involves the
existence of only a small number of compressible signals that possess adequate information …
existence of only a small number of compressible signals that possess adequate information …
An enhanced energy proficient clustering (EEPC) algorithm for relay selection in heterogeneous WSNs
The recent advancements in Wireless Sensor Networks (WSNs) have brought attention to
the field of sensor tracking events. Habitat monitoring is considered as one of the most …
the field of sensor tracking events. Habitat monitoring is considered as one of the most …
Mobile sink-based data collection in event-driven wireless sensor networks using a modified ant colony optimization
S Boyineni, K Kavitha, M Sreenivasulu - Physical Communication, 2022 - Elsevier
The hotspot problem is one of the primary challenges in the wireless sensor networks
(WSNs) because it isolates the sink node from the remaining part of the WSN. A mobile sink …
(WSNs) because it isolates the sink node from the remaining part of the WSN. A mobile sink …
Obstacle adaptive smooth path planning for mobile data collector in the internet of things
In the edge-based Internet of Things (IoT) era, wireless sensor networks (WSNs) are the
prime source for data collection. In such WSNs, mobile edge nodes such as mobile sinks …
prime source for data collection. In such WSNs, mobile edge nodes such as mobile sinks …
Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs
In wireless sensor networks (WSNs), the energy-hole or hotspot problem is an important,
challenging issue because it isolates some nodes from the sink. The hotspot problem is …
challenging issue because it isolates some nodes from the sink. The hotspot problem is …
A framework for energy-efficient clustering with utilizing wireless energy balancer
Clustering has been accepted as one of the most efficient techniques for conserving the
energy of wireless sensor networks (WSNs). In cluster-based WSN, the cluster heads (CH) …
energy of wireless sensor networks (WSNs). In cluster-based WSN, the cluster heads (CH) …
EE-MSWSN: Energy-efficient mobile sink scheduling in wireless sensor networks
Data gathering using mobile sink (MS) based on rendezvous points (RPs) is a need in
several Internet of Things (IoT) applications. However, devising energy-efficient and reliable …
several Internet of Things (IoT) applications. However, devising energy-efficient and reliable …
Multi-factor optimized mobile sink data collection framework for hybrid WSN-LTE assisted IoT network
S Mohan, S Panda - Heliyon, 2024 - cell.com
The convergence of wireless sensor network-assisted Internet of Things has diverse
applications. In most applications, the sensors are battery-powered, and it is necessary to …
applications. In most applications, the sensors are battery-powered, and it is necessary to …