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...
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| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20220111_9783036524627_816 |
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| _version_ | 1869526711018717184 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76984 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769842024-04-09T23:15:35Z Smart Sensor Technologies for IoT Brida, Peter Krejcar, Ondrej Selamat, Ali Kertesz, Attila Internet of Things (IoT) ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2022-01-11T13:48:24Z 2022-01-11T13:48:24Z 2021 book ONIX_20220111_9783036524627_816 9783036524627 9783036524634 https://directory.doabooks.org/handle/20.500.12854/76984 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4577 https://mdpi.com/books/pdfview/book/4577 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2463-4 10.3390/books978-3-0365-2463-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036524627 9783036524634 270 Basel, Switzerland open access |
| spellingShingle | Internet of Things (IoT) ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Smart Sensor Technologies for IoT |
| title | Smart Sensor Technologies for IoT |
| title_full | Smart Sensor Technologies for IoT |
| title_fullStr | Smart Sensor Technologies for IoT |
| title_full_unstemmed | Smart Sensor Technologies for IoT |
| title_short | Smart Sensor Technologies for IoT |
| title_sort | smart sensor technologies for iot |
| topic | Internet of Things (IoT) ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | Internet of Things (IoT) ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036524627_816 |