Smart Sensor Technologies for IoT
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 T...
Saved in:
Other Authors: | , , , |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_76984 | ||
005 | 20220111 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20220111s2021 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-2463-4 | ||
020 | |a 9783036524627 | ||
020 | |a 9783036524634 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-2463-4 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
100 | 1 | |a Brida, Peter |4 edt | |
700 | 1 | |a Krejcar, Ondrej |4 edt | |
700 | 1 | |a Selamat, Ali |4 edt | |
700 | 1 | |a Kertesz, Attila |4 edt | |
700 | 1 | |a Brida, Peter |4 oth | |
700 | 1 | |a Krejcar, Ondrej |4 oth | |
700 | 1 | |a Selamat, Ali |4 oth | |
700 | 1 | |a Kertesz, Attila |4 oth | |
245 | 1 | 0 | |a Smart Sensor Technologies for IoT |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (270 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a Internet of Things (IoT) | ||
653 | |a ReRoute | ||
653 | |a Multicast Repair (M-REP) | ||
653 | |a internet of things (IoT) | ||
653 | |a Fast Reroute | ||
653 | |a bit repair (B-REP) | ||
653 | |a failure repair | ||
653 | |a WSN | ||
653 | |a MANET | ||
653 | |a DRONET | ||
653 | |a multilayered network model | ||
653 | |a 5G | ||
653 | |a IoT | ||
653 | |a smart sensors | ||
653 | |a smart sensor | ||
653 | |a IoT system | ||
653 | |a Velostat | ||
653 | |a pressure sensor | ||
653 | |a convolutional neural network | ||
653 | |a data classification | ||
653 | |a position detection | ||
653 | |a magnetometer | ||
653 | |a traffic | ||
653 | |a vehicle | ||
653 | |a classification | ||
653 | |a measurement | ||
653 | |a detection | ||
653 | |a Internet of Things | ||
653 | |a Bluetooth | ||
653 | |a indoor tracking | ||
653 | |a mobile localization | ||
653 | |a optical sensors | ||
653 | |a vibration sensing | ||
653 | |a quality of service differentiation | ||
653 | |a wireless optical networks | ||
653 | |a free space optics | ||
653 | |a multiwavelength laser | ||
653 | |a optical code division multiple access (OCDMA) | ||
653 | |a underwater wireless sensor network | ||
653 | |a energy-efficient | ||
653 | |a clustering | ||
653 | |a depth-based routing | ||
653 | |a mm-wave radars | ||
653 | |a GNSS-RTK positioning | ||
653 | |a wireless technology | ||
653 | |a electromagnetic scanning | ||
653 | |a point cloud | ||
653 | |a localization | ||
653 | |a IMU | ||
653 | |a Wi-Fi | ||
653 | |a positioning | ||
653 | |a dead reckoning | ||
653 | |a particle filter | ||
653 | |a fingerprinting | ||
653 | |a Wi-Fi sensing | ||
653 | |a human activity recognition | ||
653 | |a location-independent | ||
653 | |a meta learning | ||
653 | |a metric learning | ||
653 | |a few-shot learning | ||
653 | |a ACR | ||
653 | |a H.264/AVC | ||
653 | |a H.265/HEVC | ||
653 | |a QoE | ||
653 | |a subjective assessment | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4577 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76984 |7 0 |z DOAB: description of the publication |