Tag: iot and machine learning

Latest Research Areas In IoT The Internet of Things (#IoT), as defined by #ICT (Information and Communication Technology), is a dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols. Various Research areas in IoT The Internet of Things (IoT) refers to the interconnection of physical devices. For Example cars, buildings, and other items are integrated with electronics, software, sensors, actuators, and network connections, allowing these objects to gather and share data. [caption id="attachment_1419" align="aligncenter" width="552"] Research Areas In IoT[/caption] The Global Standards Initiative on the Internet of Things (IoTGS) was established in 2013. The traditional disciplines of embedded systems, wireless sensor networks, control systems, and automation systems are integrated to form the Internet of Things (#IoT). That is, the internet of things builds on the ground-breaking success of mobile and internet networks. Nobody could have envisioned having a video conversation with their relatives even a few decades ago. It is now simply a game for children in Various Research areas in IoT. Availability Of The Internet & Development All of this is attributable to the widespread availability of the internet and the development of gadgets with Wi-Fi capabilities. Technology prices are falling, and smartphones can accomplish virtually anything with their built-in functions and apps. What we have so far is the “Internet of Computers (IoC),” which is steadily expanding in size. According to Gartner’s research, “by the end of this decade, the globe will be a more profoundly and intimately linked place, with an anticipated 7.3 billion tablets, PCs, and Smartphones.” This enormously connected system is expected to grow at an even faster rate by 2020, reaching 26 billion connected devices worldwide.” As a result, the vast reach of the Internet of Things emerges (#IoT). This so-called Internet of Things is on the verge of a perfect storm. And the storm is centered on five fundamental areas: sensor technologies, local processing, networking models, data science and predictive technologies, machine learning, and security. Various Research areas in IoT The Internet of Things (#IoT) offers a concept in which the Internet spreads into the real world, encompassing ordinary things. Physical objects are no longer cut off from the virtual world; they may now be operated remotely and serve as physical access points to Internet services. Concept The Internet of Things concept is based on the idea that current breakthroughs in microelectronics, communications, and information technology will continue in the near future. “Smart” items are important in the IoT vision because embedded communication and information technologies have the potential to change their utility. They can sense their surroundings by using sensors, and they can talk with one another, access Internet services, and interact with people thanks to built-in networking capabilities. Various Research areas in IoT Various Research Areas of #IOT 1. IoT Network Design and Architecture IoT network design and Cloud networks Networking technologies for data centers Software-defined networking Network virtualization technologies Embedded system architecture Adaptive and cognitive networks Wireless networks for IoT and Cloud IoT-enabled home networks. IoT and SMART cities 2. IoT enabled Software Architectures and Middleware Software architecture for IoT and cloud Inter-cloud interfaces Programming models Services provisioning and management Hybrid cloud infrastructure for IoT IoT based Application development SMART censors, Use cases and Experiences Requirements analysis and modelling IoT Service integration Middleware for cloud and IoT IoT-based data acquisition, knowledge management, and semantics. 3. Mobile Cloud Services Mobile cloud and IoT services Mobiles as sensors, networks, and applications Mobile cloud and IoT models Spatial Mobility, geo-location, and management Mobile multimedia services Pervasive and ubiquitous services in cloud and IoT Mobile service architectures and frameworks. 4. Data and Knowledge Management Data models, Tiny/small databases for IoT devices Knowledge management, Rules, Semantics, and Ontologies. Context-awareness and Location-awareness Context-awareness in cloud and IoT Location-aware services and Spatial data integration Cloud-based context-aware IoT Self-adaptive services Context-aware models and protocols Context-aware services – transportation system, buildings, roads, water supply, environment and healthcare. 6. Security, Privacy, and Trust IoT and cloud security Privacy issues Reliability of cloud and IoT Accountability and audit Authentication and authorization Cryptography; Identity theft; Data loss or leakage Trust management 7. Software-defined Networking Software-defined Networking (SDN) support for Cloud and IoT IoT Network virtualization Software-defined data and storage SDN models and architectures QoS evaluation SDN scalability and optimization SDN security and privacy. 8. Performance Evaluation and Modelling Performance modeling in cloud and IoT Evaluation techniques Performance monitoring Scheduling and application workflows Scalability in cloud and IoT Fault-tolerance and recovery Capacity planning and elasticity 9. Networking and Communication Protocols Transmission protocols and algorithms Communication protocols for data centers Software-defined network protocols Energy-efficient networks Network security and privacy P2P and overlay networks for IoT and cloud Measurement and simulations. 10. IoT Services and Applications Architectures of IoT services IoT application areas, IoT and M2M Tools and technologies for IoT services Business models for IoT applications Energy optimization in IoT Modeling and simulation of IoT applications; 11. SMART Environment Smart cloud and IoT Smart homes and cities Adaptive user interfaces for smart applications Interconnection of smart devices (things) Dynamic urban communications Indoor communications SMART healthcare and assisted living SMART transportation and vehicles SMART phones applications and services 12. Intelligent Systems for Cloud and Services Computing Agent-based systems and applications Semantic web and services Ontological models Intelligent resource virtualization Knowledge management Intelligent Service Level Agreement (SLA) and Quality assurance. 13. Energy Efficiency Energy efficient service provisioning Energy-efficient resource utilization Data storage and processing Energy-efficient networking SMART devices and tools Energy metrics and benchmarks Energy-aware hardware. 14. Virtualization Architectures and models Virtualization of cloud resources Network virtualization Cloud virtualization and IoT Performance of virtualization Reliability and security. 15. Clouds at the Edges Cloud at the Edges Distribution of data centers at network edges Hierarchy of computing capacity and centralized clouds IoT applications and network edges Processing of IoT data at network edges Optimization of data traffic and latencies. industrial applications of IoT and cloud You may contact me at 9811908699 Dr. Pawan Whig Senior IEEE Member Dean research VIPS pawanwhig@gmail.com for consultancy on research

Tag: iot and machine learning

Latest Research Areas In IoT

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