Smart Sensor Technologies for IoT

• Autore: Brida Peter
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (270 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: 5G; ACR; bit repair (B-REP); Bluetooth; classification; clustering; convolutional neural network; data classification; dead reckoning; depth-based routing; detection; DRONET; electromagnetic scanning; energy-efficient; failure repair; Fast Reroute; few-shot learning; fingerprinting; free space optics; GNSS-RTK positioning; H.264/AVC; H.265/HEVC; human activity recognition; IMU; indoor tracking; Internet of Things; internet of things (IoT); Internet of Things (IoT); IoT; IoT system; localization; location-independent; magnetometer; MANET; measurement; meta learning; metric learning; mm-wave radars; mobile localization; Multicast Repair (M-REP); multilayered network model; multiwavelength laser; n/a; optical code division multiple access (OCDMA); optical sensors; particle filter; point cloud; position detection; positioning; pressure sensor; QoE; quality of service differentiation; ReRoute; smart sensor; smart sensors; subjective assessment; traffic; underwater wireless sensor network; vehicle; Velostat; vibration sensing; Wi-Fi; Wi-Fi sensing; wireless optical networks; wireless technology; WSN
• Persona (resp. second.): KrejcarOndrej; SelamatAli; KerteszAttila; BridaPeter
• Sommario/riassunto: 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.
• Titolo autorizzato: Smart Sensor Technologies for IoT
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557599903321
• Lo trovi qui: Univ. Federico II