000 | 04850naaaa2201105uu 4500 | ||
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003 | BUT | ||
005 | 20230331172541.0 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 202105s2020 sz x |||||o ||| eng|| d | ||
020 | _a9783039282388 | ||
020 | _a9783039282395 | ||
040 |
_aoapen _coapen |
||
041 | 0 | _aeng | |
080 | _a004 | ||
100 | 1 |
_aGuerrieri, Antonio _4edt |
|
245 | 1 | 0 | _aSmart Monitoring and Control in the Future Internet of Things |
260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2020 |
||
300 | _a1 electronic resource (206 p.) | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
520 | _aThe Internet of Things (IoT) and related technologies have the promise of realizing pervasive and smart applications which, in turn, have the potential of improving the quality of life of people living in a connected world. According to the IoT vision, all things can cooperate amongst themselves and be managed from anywhere via the Internet, allowing tight integration between the physical and cyber worlds and thus improving efficiency, promoting usability, and opening up new application opportunities. Nowadays, IoT technologies have successfully been exploited in several domains, providing both social and economic benefits. The realization of the full potential of the next generation of the Internet of Things still needs further research efforts concerning, for instance, the identification of new architectures, methodologies, and infrastructures dealing with distributed and decentralized IoT systems; the integration of IoT with cognitive and social capabilities; the enhancement of the sensing–analysis–control cycle; the integration of consciousness and awareness in IoT environments; and the design of new algorithms and techniques for managing IoT big data. This Special Issue is devoted to advancements in technologies, methodologies, and applications for IoT, together with emerging standards and research topics which would lead to realization of the future Internet of Things. | ||
540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc |
||
546 | _aEnglish | ||
650 | 0 |
_aСети, телекоммуникации, интернет _92231 |
|
653 | _aatmospheric | ||
653 | _aon-line monitoring | ||
653 | _aLoRa | ||
653 | _aembedded system | ||
653 | _asmart environments | ||
653 | _aInternet of Things | ||
653 | _aindoor occupancy | ||
653 | _amachine learning | ||
653 | _adata analysis | ||
653 | _alandslide susceptibility | ||
653 | _aChina-Nepal Highway | ||
653 | _aLSTM | ||
653 | _aremote sensing images | ||
653 | _aIoT | ||
653 | _anetwork traffic | ||
653 | _amonitoring | ||
653 | _aDDoS | ||
653 | _apacket classification | ||
653 | _aindoor localization | ||
653 | _achannel state information | ||
653 | _adevice-free passive | ||
653 | _aWiFi fingerprint | ||
653 | _anaive Bayes classification | ||
653 | _afeature fusion | ||
653 | _aposture recognition | ||
653 | _aindoor positioning | ||
653 | _awireless body area network | ||
653 | _aKalman filtering | ||
653 | _amulti-sensor combination | ||
653 | _aprognostic and health management | ||
653 | _aintegrative framework | ||
653 | _ainternet of things | ||
653 | _aconvolutional neural network | ||
653 | _aconditioned-based maintenance | ||
653 | _aIoT platform | ||
653 | _aintelligent monitoring robot | ||
653 | _aactive CCTV | ||
653 | _alearning model | ||
653 | _aelectrical devices | ||
653 | _aclassification | ||
653 | _aenergy management | ||
653 | _asmart environment | ||
653 | _aarchitecture | ||
653 | _ablockchain | ||
653 | _acommunication constraints | ||
653 | _adecentralized application | ||
653 | _aEthereum | ||
653 | _aInternet of things | ||
653 | _asensing and control | ||
653 | _acomputational efficiency | ||
653 | _arobotic manipulators | ||
653 | _ahysteresis | ||
653 | _aadaptive control | ||
653 | _awireless sensor network (WSN) | ||
653 | _aenergy | ||
653 | _aant colony optimization (ACO) | ||
653 | _arouting algorithm | ||
653 | _aquantum-inspired evolutionary algorithms | ||
700 | 1 |
_aCicirelli, Franco _4edt |
|
700 | 1 |
_aVinci, Andrea _4edt |
|
700 | 1 |
_aGuerrieri, Antonio _4oth |
|
700 | 1 |
_aCicirelli, Franco _4oth |
|
700 | 1 |
_aVinci, Andrea _4oth |
|
856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/2999 _70 _zDownload |
856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/69226 _70 _zDescription |
909 |
_c255 _dRobiyakhon Olimjonova |
||
942 |
_2udc _cEE |
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999 |
_c6300 _d6300 |