Big-Data Analytics for Cloud, IoT and Cognitive Computing

3 IoT Sensing, Mobile and Cognitive Systems

CHAPTER OUTLINE

1. 3.1 Sensing Technologies for Internet of Things
   1. 3.1.1 Enabling Technologies and Evolution of IoT
   2. 3.1.2 Introducing RFID and Sensor Technologies
   3. 3.1.3 IoT Architectural and Wireless Support
2. 3.2 IoT Interactions with GPS, Clouds and Smart Machines
   1. 3.2.1 Local versus Global Positioning Technologies
   2. 3.2.2 Standalone versus Cloud-Centric IoT Applications
   3. 3.2.3 IoT Interaction Frameworks with Environments
3. 3.3 Radio Frequency Identification (RFID)
   1. 3.3.1 RFID Technology and Tagging Devices
   2. 3.3.2 RFID System Architecture
   3. 3.3.3 IoT Support of Supply Chain Management
4. 3.4 Sensors, Wireless Sensor Networks and GPS Systems
   1. 3.4.1 Sensor Hardware and Operating Systems
   2. 3.4.2 Sensing through Smart Phones
   3. 3.4.3 Wireless Sensor Networks and Body Area Networks
   4. 3.4.4 Global Positioning Systems
5. 3.5 Cognitive Computing Technologies and Prototype Systems
   1. 3.5.1 Cognitive Science and Neuroinformatics
   2. 3.5.2 Brain-Inspired Computing Chips and Systems
   3. 3.5.3 Google's Brain Team Projects
   4. 3.5.4 IoT Contexts for Cognitive Services
   5. 3.5.5 Augmented and Virtual Reality Applications
6. 3.6 Conclusions

3.1 Sensing Technologies for Internet of Things

Integrating the digital world and physical world is the ultimate goal of IoT. This could be regarded as the third evolution of information industry. First, the network scale becomes very large in order to interconnect the enormous number of things in the physical world. Second, network mobility ...