LEADER 04843nam 2201201z- 450 001 9910557599903321 005 20220111 035 $a(CKB)5400000000043678 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76984 035 $a(oapen)doab76984 035 $a(EXLCZ)995400000000043678 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSmart Sensor Technologies for IoT 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (270 p.) 311 08$a3-0365-2462-2 311 08$a3-0365-2463-0 330 $aThe 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. 606 $aTechnology: general issues$2bicssc 610 $a5G 610 $aACR 610 $abit repair (B-REP) 610 $aBluetooth 610 $aclassification 610 $aclustering 610 $aconvolutional neural network 610 $adata classification 610 $adead reckoning 610 $adepth-based routing 610 $adetection 610 $aDRONET 610 $aelectromagnetic scanning 610 $aenergy-efficient 610 $afailure repair 610 $aFast Reroute 610 $afew-shot learning 610 $afingerprinting 610 $afree space optics 610 $aGNSS-RTK positioning 610 $aH.264/AVC 610 $aH.265/HEVC 610 $ahuman activity recognition 610 $aIMU 610 $aindoor tracking 610 $aInternet of Things 610 $ainternet of things (IoT) 610 $aInternet of Things (IoT) 610 $aIoT 610 $aIoT system 610 $alocalization 610 $alocation-independent 610 $amagnetometer 610 $aMANET 610 $ameasurement 610 $ameta learning 610 $ametric learning 610 $amm-wave radars 610 $amobile localization 610 $aMulticast Repair (M-REP) 610 $amultilayered network model 610 $amultiwavelength laser 610 $an/a 610 $aoptical code division multiple access (OCDMA) 610 $aoptical sensors 610 $aparticle filter 610 $apoint cloud 610 $aposition detection 610 $apositioning 610 $apressure sensor 610 $aQoE 610 $aquality of service differentiation 610 $aReRoute 610 $asmart sensor 610 $asmart sensors 610 $asubjective assessment 610 $atraffic 610 $aunderwater wireless sensor network 610 $avehicle 610 $aVelostat 610 $avibration sensing 610 $aWi-Fi 610 $aWi-Fi sensing 610 $awireless optical networks 610 $awireless technology 610 $aWSN 615 7$aTechnology: general issues 700 $aBrida$b Peter$4edt$01319397 702 $aKrejcar$b Ondrej$4edt 702 $aSelamat$b Ali$4edt 702 $aKertesz$b Attila$4edt 702 $aBrida$b Peter$4oth 702 $aKrejcar$b Ondrej$4oth 702 $aSelamat$b Ali$4oth 702 $aKertesz$b Attila$4oth 906 $aBOOK 912 $a9910557599903321 996 $aSmart Sensor Technologies for IoT$93033875 997 $aUNINA