Technologies for Future Mobile Tactile Internet of Things (IoT)

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1 Technologies for Future Mobile Tactile Internet of Things (IoT) Dr. Suresh Borkar Department of ECE Illinois Institute of Technology, Chicago IIT Real-Time Communications Conference Oct 18-20,

2 Technologies for Future Mobile Tactile IoT Application Environment of the Future Architectures and Technologies of the Future Applicability of 5G Wireless Graphic Databases Advanced Computing Other Technologies Concluding Remarks 2

3 Upcoming Applications and Services Applications Smart City Smart law Enforcement, Smart Living, Smart Grid Internet of Things (IoT) Advanced Storage and Computing Ubiquitous Computing Attributes Acquisition, Processing and Analysis, Communications, and Dissemination of Large Amount of Heterogeneous Data Dominated by Machine to Machine (M2M) Communications needing reliability and security Tactile Internet 3

4 A Smart Solution Super Efficient and Fast Broadband Wireless Networks Intelligent Sensors, Devices, and Databases Smart Urban Spaces Agile Web-Based Applications and e-services Pervasive and Dynamic Data Whatever, Whenever, Wherever, Whoever Impregnable Security Network 4

5 Expectations on Information and Communications Technologies (ICT) Increase Internet Connectivity to 100+ B by 2025 Ensure Capability to Transfer of 80+ ZB* data by 2025 Enable Processing Power to be Unbounded *: 1,000,000,000,000,000,000,000 5

6 Usage of 5G Wireless 6

7 High Speed data and Massive Connectivity 7

8 Spectrum Operating Frequency up to 100 HGz and bandwidth 1960 MHz Operating Frequency BW 8

9 Large Database Aspects Data Acquisition Sensor Technologies and Communications Data Storage Real time Analysis and Management of High Volume Data Managing connections via Graph Databases Data Communications Content distribution, multimedia networking, quality of service, policy-based networking, congestion control, routing basics Data Security Confidentiality, integrity, authentication, and access control of Distributed Intelligent Databases Mobile and Cloud Security 9

10 Graph Databases Represent complex data and abstract concepts Represent the connections inherent in the IoT Instant Correction Capabilities Manage Data in various Forms structured and unstructured text forms Develop new Prediction Models for Reducing the Dimensionality of the Diverse Data Distil Essential Information in the form of a Reduced Set of Prioritized Variables that Characterize the Outcome Identify Patterns and Hidden Relationships among the Data Variables 10

11 Computing Platforms Optical Computers Utilize crystals and metamaterials to control light photon light particles Quantum Computers Make direct use of distinctively quantum mechanical phenomena to perform operations on data Biological Computers Use DNA (deoxyribonucleic acid) to process information 11

12 Other Related Technologies Dynamic Spectrum Allocation Manage and Share Radio Spectrum Dynamically Improvement in Spectrum Efficiency IP v6 128 bit Addressing Range, Auto-Configuration, and Integrated security and Mobility Features Real-time Gesture Recognition and Translation Communicate with a Machine and interact naturally without any Electro-mechanical Devices. Perceptive Global Position Awareness Systems Enhanced Connectivity and significantly more Accuracy than Current Systems 12

13 Concluding Remarks Future Tactile Internet of Things (IoT) Smart City Applications Technology Drivers Super Efficient and Fast Broadband Wireless Networks Intelligent Sensors, Devices, and Databases Pervasive and Dynamic Data Whatever, Whenever, Wherever, Whoever Major Technologies 5G Wireless Graph Databases Advanced Computing Platforms Pushing the envelope of Spectrum Usage and Efficiency Perceptive Global Position Awareness Systems 13