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230811 ||| eng |
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|a 9783036574493
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|a 9783036574486
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|a books978-3-0365-7449-3
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| 100 |
1 |
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|a Lin, Zihuai
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| 245 |
0 |
0 |
|a Wireless Sensing and Networking for the Internet of Things
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (398 p.)
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| 653 |
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|a LSTM model
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| 653 |
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|a multi-robot systems
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| 653 |
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|a machine learning
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| 653 |
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|a landmark
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| 653 |
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|a closed-from approximation
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| 653 |
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|a millimeter wave
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| 653 |
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|a conventional communication methods
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| 653 |
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|a moisture sensor
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| 653 |
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|a power conversion efficiency
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| 653 |
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|a Green IoT
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| 653 |
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|a feature fusion
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| 653 |
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|a unmanned aerial vehicle
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| 653 |
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|a virtual testbed
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| 653 |
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|a IIoT
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| 653 |
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|a IoT
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| 653 |
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|a safety
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| 653 |
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|a LoS blockage
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| 653 |
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|a economic value
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| 653 |
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|a deep learning
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| 653 |
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|a hardware security
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| 653 |
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|a Internet of things
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| 653 |
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|a digital twin
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| 653 |
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|a multi-tone signal
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| 653 |
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|a autonomous sensor node
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| 653 |
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|a Industry 5.0
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| 653 |
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|a voltage doubler
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| 653 |
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|a mobile sensors
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| 653 |
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|a intercept access point
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a proximal soil sensor device
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| 653 |
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|a smart cities
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| 653 |
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|a artificial neural network
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| 653 |
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|a LoRaWAN™
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| 653 |
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|a reliability
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| 653 |
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|a AI
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| 653 |
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|a sensor networks
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| 653 |
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|a soil water content
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| 653 |
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|a direction-of-arrival estimation
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| 653 |
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|a multi-UAV
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| 653 |
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|a support vector machine
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| 653 |
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|a cell decomposition
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| 653 |
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|a wearable device
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| 653 |
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|a single diode rectifier
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| 653 |
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|a D2D
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| 653 |
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|a edge computing
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| 653 |
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|a label-free biosensor
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| 653 |
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|a climate change
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| 653 |
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|a Internet of Things (IoT)
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| 653 |
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|a anomaly detection
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| 653 |
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|a hybrid SDN
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| 653 |
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|a body shadowing compensation
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| 653 |
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|a wireless sensor network
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| 653 |
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|a cybersecurity
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| 653 |
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|a energy harvesting
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| 653 |
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|a new radio
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| 653 |
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|a digital circular economy
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| 653 |
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|a inventoried sensor devices
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| 653 |
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|a Energy industries and utilities / bicssc
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| 653 |
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|a unmanned aerial vehicles
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| 653 |
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|a electromagnetic sensing
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| 653 |
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|a minimum vertex cover
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| 653 |
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|a indoor localisation
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| 653 |
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|a 6G
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| 653 |
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|a wireless communication
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| 653 |
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|a ESPRIT algorithm
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| 653 |
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|a LoRaWAN
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| 653 |
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|a text detection
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| 653 |
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|a real time
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| 653 |
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|a n/a
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| 653 |
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|a decomposition methods
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| 653 |
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|a technological development
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| 653 |
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|a connectivity
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| 653 |
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|a tactile Internet
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| 653 |
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|a electromagnetic vector-sensor array
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| 653 |
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|a URLLC
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| 653 |
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|a coverage path planning
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| 653 |
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|a data
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| 653 |
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|a wireless systems
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a Precision Agriculture
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| 653 |
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|a inertial measurement device
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| 653 |
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|a downlink
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| 653 |
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|a motion mode detection
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| 653 |
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|a network emulator
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| 653 |
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|a digital transition
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| 653 |
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|a long-distance transmission
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| 653 |
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|a IoT measurements
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| 653 |
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|a LoRa
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| 653 |
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|a LPWAN
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| 653 |
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|a robotic simulator
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| 653 |
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|a rooftop deployments
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| 653 |
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|a industrial IoT
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| 653 |
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|a principal component analysis
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| 653 |
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|a resilience
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| 653 |
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|a wireless communications
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| 653 |
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|a edge AI
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| 653 |
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|a 5G/6G
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| 653 |
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|a natural scene
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| 653 |
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|a full-wave simulations of PCB
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| 653 |
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|a energy optimal path
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| 653 |
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|a geometric algebra
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| 653 |
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|a blockchain
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| 653 |
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|a the Internet of Things
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| 653 |
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|a distributed sensing
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| 653 |
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|a fingerprinting
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| 653 |
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|a sensors
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| 653 |
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|a harmonic balance method
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| 653 |
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|a sustainability
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| 653 |
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|a nearest neighbour
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| 653 |
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|a energy-aware approaches
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| 653 |
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|a lawful interception
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| 653 |
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|a wireless power transfer
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| 653 |
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|a ultralow power consumption
|
| 700 |
1 |
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|a Xiang, Wei
|
| 700 |
1 |
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|a Lin, Zihuai
|
| 700 |
1 |
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|a Xiang, Wei
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
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|a 10.3390/books978-3-0365-7449-3
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7236
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100774
|z DOAB: description of the publication
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|a 330
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|a 551.6
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|a 333
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|a In recent years, we have been witnessing the exponential proliferation of the Internet of Things (IoT), networks of physical devices, vehicles, appliances and other items embedded with electronics, software, sensors, actuators and connectivity that enables these objects to connect and exchange data. Enabling the introduction of highly efficient IoT, wireless sensing and network technologies will reduce the need for traditional processes that are currently be carried out manually, thus freeing up the precious resources of dwindling working staff, to do more meaningful and human-centered work. This reprint aims to bring together innovative developments in areas related to IoT, wireless sensing and networking. The aspects covered include software-defined network (SDN)-based IoT networks, artificial intelligence (AI) for IoT, industrial IoT, smart sensors, optimization of energy efficiency for IoT, and wireless sensor networks, IoT applications for agriculture, smart cities, healthcare, localization and environment monitoring.
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