04810nam 2201177z- 450 991055759990332120231214133333.0(CKB)5400000000043678(oapen)https://directory.doabooks.org/handle/20.500.12854/76984(EXLCZ)99540000000004367820202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSmart Sensor Technologies for IoTBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (270 p.)3-0365-2462-2 3-0365-2463-0 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.Technology: general issuesbicsscInternet of Things (IoT)ReRouteMulticast Repair (M-REP)internet of things (IoT)Fast Reroutebit repair (B-REP)failure repairWSNMANETDRONETmultilayered network model5GIoTsmart sensorssmart sensorIoT systemVelostatpressure sensorconvolutional neural networkdata classificationposition detectionmagnetometertrafficvehicleclassificationmeasurementdetectionInternet of ThingsBluetoothindoor trackingmobile localizationoptical sensorsvibration sensingquality of service differentiationwireless optical networksfree space opticsmultiwavelength laseroptical code division multiple access (OCDMA)underwater wireless sensor networkenergy-efficientclusteringdepth-based routingmm-wave radarsGNSS-RTK positioningwireless technologyelectromagnetic scanningpoint cloudlocalizationIMUWi-Fipositioningdead reckoningparticle filterfingerprintingWi-Fi sensinghuman activity recognitionlocation-independentmeta learningmetric learningfew-shot learningACRH.264/AVCH.265/HEVCQoEsubjective assessmentTechnology: general issuesBrida Peteredt1319397Krejcar OndrejedtSelamat AliedtKertesz AttilaedtBrida PeterothKrejcar OndrejothSelamat AliothKertesz AttilaothBOOK9910557599903321Smart Sensor Technologies for IoT3033875UNINA