TY  - GEN
AU  - Brida,Peter
AU  - Krejcar,Ondrej
AU  - Selamat,Ali
AU  - Kertesz,Attila
AU  - Brida,Peter
AU  - Krejcar,Ondrej
AU  - Selamat,Ali
AU  - Kertesz,Attila
TI  - Smart Sensor Technologies for IoT
SN  - books978-3-0365-2463-4
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Technology: general issues
KW  - bicssc
KW  - Internet of Things (IoT)
KW  - ReRoute
KW  - Multicast Repair (M-REP)
KW  - internet of things (IoT)
KW  - Fast Reroute
KW  - bit repair (B-REP)
KW  - failure repair
KW  - WSN
KW  - MANET
KW  - DRONET
KW  - multilayered network model
KW  - 5G
KW  - IoT
KW  - smart sensors
KW  - smart sensor
KW  - IoT system
KW  - Velostat
KW  - pressure sensor
KW  - convolutional neural network
KW  - data classification
KW  - position detection
KW  - magnetometer
KW  - traffic
KW  - vehicle
KW  - classification
KW  - measurement
KW  - detection
KW  - Internet of Things
KW  - Bluetooth
KW  - indoor tracking
KW  - mobile localization
KW  - optical sensors
KW  - vibration sensing
KW  - quality of service differentiation
KW  - wireless optical networks
KW  - free space optics
KW  - multiwavelength laser
KW  - optical code division multiple access (OCDMA)
KW  - underwater wireless sensor network
KW  - energy-efficient
KW  - clustering
KW  - depth-based routing
KW  - mm-wave radars
KW  - GNSS-RTK positioning
KW  - wireless technology
KW  - electromagnetic scanning
KW  - point cloud
KW  - localization
KW  - IMU
KW  - Wi-Fi
KW  - positioning
KW  - dead reckoning
KW  - particle filter
KW  - fingerprinting
KW  - Wi-Fi sensing
KW  - human activity recognition
KW  - location-independent
KW  - meta learning
KW  - metric learning
KW  - few-shot learning
KW  - ACR
KW  - H.264/AVC
KW  - H.265/HEVC
KW  - QoE
KW  - subjective assessment
KW  - n/a
N1  - Open Access
N2  - The recent development in wireless networks and devices has led to novel services that will utilize wireless communication on a new level. Much effort and resources have been dedicated to establishing new communication networks that will support machine-to-machine communication and the Internet of Things (IoT). In these systems, various smart and sensory devices are deployed and connected, enabling large amounts of data to be streamed. Smart services represent new trends in mobile services, i.e., a completely new spectrum of context-aware, personalized, and intelligent services and applications. A variety of existing services utilize information about the position of the user or mobile device. The position of mobile devices is often achieved using the Global Navigation Satellite System (GNSS) chips that are integrated into all modern mobile devices (smartphones). However, GNSS is not always a reliable source of position estimates due to multipath propagation and signal blockage. Moreover, integrating GNSS chips into all devices might have a negative impact on the battery life of future IoT applications. Therefore, alternative solutions to position estimation should be investigated and implemented in IoT applications. This Special Issue, “Smart Sensor Technologies for IoT” aims to report on some of the recent research efforts on this increasingly important topic. The twelve accepted papers in this issue cover various aspects of Smart Sensor Technologies for IoT
UR  - https://mdpi.com/books/pdfview/book/4577
UR  - https://directory.doabooks.org/handle/20.500.12854/76984
ER  -