LEADER 04699nam 22006615 450 001 996546823503316 005 20230609033528.0 010 $a3-031-26987-X 024 7 $a10.1007/978-3-031-26987-5 035 $a(MiAaPQ)EBC30591373 035 $a(Au-PeEL)EBL30591373 035 $a(DE-He213)978-3-031-26987-5 035 $a(PPN)272265470 035 $a(EXLCZ)9926895693900041 100 $a20230609d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Internet of Things Networks $b[electronic resource] /$fby Haipeng Yao, Mohsen Guizani 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (413 pages) 225 1 $aWireless Networks,$x2366-1445 311 08$aPrint version: Yao, Haipeng Intelligent Internet of Things Networks Cham : Springer International Publishing AG,c2023 9783031269868 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Intelligent Internet of Things Networking Architecture -- Intelligent IoT Network Awareness -- Intelligent Traffic Control -- Intelligent Resource Scheduling -- Mobile Edge Computing Enabled Intelligent IoT -- Blockchain Enabled Intelligent IoT -- Conclusions and Future Challenges. 330 $aThis book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well. The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book. 410 0$aWireless Networks,$x2366-1445 606 $aComputer networks 606 $aWireless communication systems 606 $aMobile communication systems 606 $aCooperating objects (Computer systems) 606 $aMachine learning 606 $aComputer Communication Networks 606 $aWireless and Mobile Communication 606 $aCyber-Physical Systems 606 $aMachine Learning 615 0$aComputer networks. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aCooperating objects (Computer systems). 615 0$aMachine learning. 615 14$aComputer Communication Networks. 615 24$aWireless and Mobile Communication. 615 24$aCyber-Physical Systems. 615 24$aMachine Learning. 676 $a004.678 700 $aYao$b Haipeng$0969896 702 $aGuizani$b Mohsen 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546823503316 996 $aIntelligent Internet of Things Networks$93552190 997 $aUNISA