Internet of things and big data analytics toward next-generation intelligence / Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy, editors.

Preface; Contents; Internet of Things Based Sensor Networks; 1 Internet of Things Based Wireless Body Area Network in Healthcare; Abstract; 1 Introduction; 2 IoT Based WBAN for Healthcare Architecture; 2.1 Sensor Nodes; 2.2 Personal Server (Sink Node); 2.3 Medical Server; 2.4 WBAN Communication Architecture; 2.4.1 Intra-BAN Communications; 2.4.2 Inter-BAN Communication; Infrastructure Based Architecture; Ad Hoc Based Architecture; Inter-BAN Communication Technology; 2.4.3 Beyond-BAN Communication; 3 WBAN Topology; 4 Layers of WBAN; 4.1 Physical Layer; 4.2 MAC Layer; 5 WBAN Routing

5.1 Challenges of Routing in WBANs6 Security in WBANs; 7 WBAN Requirements in IEEE 802.15.6; 8 Challenges and Open Issues of WBANs; 9 Conclusion; References; 2 Mobile Sensor Networks and Robotics; Abstract; 1 Introduction; 2 Mobile Sensor Networks; 2.1 Coverage; 2.2 Localization; 3 Robotic Sensor Network Applications; 4 IoT Concept and Applications; 5 Coverage for Multi-Robots; 6 Localization for Robot; 7 Wireless Medical Sensor Network; 8 The Challenges in the MSN and Their Limitations; 9 Conclusion; Acknowledgements; References; Big Data Analytics

3 Big Data Analytics with Machine Learning ToolsAbstract; 1 Introduction; 1.1 Big Data Analytic Tools; 1.1.1 Big Data Analytic Tools; 1.1.2 Hewlett-Packard Enterprise (HPE) Big Data Platform; 1.1.3 SAP HANA Platform; 1.1.4 Microsoft Azure; 1.1.5 Oracle Big Data; 1.1.6 Other Big Data Platforms; 1.2 Machine Learning Tools for Big Data; 1.2.1 H2O; H2O Architecture and Features; H2O Algorithms; H2O Deployment and Application Example; 1.2.2 MLlib; Architecture and Features; MLlib Algorithms; MLlib Deployment and Application Example; 1.2.3 Comparative Analysis of Machine Learning Algorithms

1.3 Conclusions and DiscussionsReferences; 4 Real Time Big Data Analytics to Derive Actionable Intelligence in Enterprise Applications; Abstract; 1 Introduction; 2 Relationship Between the IoT and Big Data; 3 Big Data Analytics Architecture, Framework and Tools; 4 Motivation; 4.1 Data to Insight; 4.2 Shift from Data Management to Value Added Services; 5 Uses of Big Data in Industrial Environment; 5.1 Usecase #1: IoT (Internet of Things) in the Manufacturing Industry; 5.1.1 Connected devices; 5.1.2 Data Acquisition

5.2 Usecase #2: Data Analytics for Enterprise Business System in the Manufacturing Industry6 Challenges of Big Data Analytics; 6.1 Technology Shifts; 6.2 Data Visualization; 6.3 Heterogeneous and Imperfect Data; 6.4 Scalability; 6.5 Real Time Execution; 7 Conclusion; References; 5 Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability; Abstract; 1 Introduction; 1.1 LMS Aspects; 1.1.1 Synchronous and Asynchronous Communication; 1.1.2 Benefits and Potentials of E-learning to the Students; 2 Literature Review; 3 Managing Change; 3.1 The Benefits