The concept of Internet of Things (IoT), which has roots at MIT, has begun to make an impact in industries ranging from industrial systems to healthcare. MIT researchers and a host of others continue to conduct ground-breaking research on topics ranging from RFID to cloud technologies, from sensors to the World Wide Web. 
It is projected that by 2020, there will be 50 billion devices connected to the Internet. While the promise of the Internet of Things (IoT) brings many new business prospects, it also presents significant challenges ranging from technology architectural choices to security concerns. In this article, I will highlight the MIT Professional Education’s new Internet of Things: Roadmap to the Connected World course and give some insights on how to overcome these challenges and thrive in this exciting space. It is a new evolution in hardware, software, and data with the overall goal to develop and implement your own IoT technologies, solutions, and applications.
The first road block for every great research in IOT is to discover key IoT concepts including identification, sensors, localization, wireless protocols, data storage and security. Furthermore, we can then explore IoT technologies, architectures, standards, and regulation. In this regard, we then realized the value created by collecting, communicating, coordinating, and leveraging the data from connected devices. Examine technological developments that will likely shape the industrial landscape in the future and understand how to develop and implement your own IoT technologies, solutions, and applications.
A comprehensive understanding of IoT’s potential will shape the industrial landscape in the years to come.
A course well suited for Professionals with a background in electrical engineering or computer science has been put together by MIT Researchers. The course according to the organisers is ideally suited for individuals who want to leverage the Internet of Things to address business challenges including cybersecurity, system architecture, and data management. It is also applicable to people working in a variety of industries, from healthcare to telecommunication. Industries represented include:
- Manufacturing and supply chains
- Retail
- Transportation and logistics
- Healthcare
- Energy (oil and gas)
- Agriculture
- Financial
- Public sector
- Automotive
- Logistics
- Telecommunications
- Consumer products
Module 1:
Section A: Architectures
Introduction: What is IoT and the connected world?
Case study on RFID
Architecture of IoT
Security issues
Opportunities for IoT
Section B: The Web of Things
Linked data – value is greatest when linked
Enterprise data – shared vs. public vs. private
Importance of security, privacy, and authenticity
Industry standards
Web of Things layer as the driver for IoT systems
Section C: Lessons from the Internet
Is the Internet the right technology to hook together a network of things?
The key lessons that our experience with the Internet teaches us about a future of things
A focus on network management, security, mobility and longevity
The desirable features of a distributed architecture for a system of things
Module 2: Technologies
Section A: Wireless protocols
One size does not fit all: why are there dozens of connectivity options?
Three key dimensions: application duty cycle and data rate, battery consumption, and communication range
Three case studies: low-power design (Bluetooth Low Energy), range extension techniques (data mining and mesh networking), and data-intensive IoT for continuous recognition applications
Predictions for the next few years
Section B: Data storage and analysis
Managing high rate sensor data
Processing data streams
Data consistency in an intermittently connected or disconnected environment
Identifying outliers and anomalies
Section C: Localization
Localization algorithms
Indoor localization
Localization for mobile systems
Applications
Section D: Security in IOT
Why is security for IoT so hard?
Threat models
Defensive strategies and examples
Section E: HCI and IoT World
Theory and applications of spoken dialogue for human-computer interaction
Combining speech with other modalities for natural interaction
Considerations for multilingual interactions
Paralinguistic information from speech for enhanced HCI
Future challenges for ubiquitous speech interfaces
Section F: Robotics and Autonomous Vehicles
Potential benefits of self-driving vehicles and service robots
Sensing and data processing
Simultaneous mapping and localization
Levels of autonomy
Future research challenges
Module 3: Applications
Section A: Smart Buildings
Emerging descriptive data standards for IoT and sensors
Immersive visualization of diverse sensor data using game engines
Wearable sensing for IoT featuring new ways to control and interact with your environment
Sensors and paradigms for seamless interaction with the built environment
Smart tools for IoT
Smart, sensate materials
Section B: Smart Homes
Smart health
Home automation
Location tracking
Section C: Smart Cities
The city as a cyber physical system
Principles of cybernetics such as sensing and actuating
Collection of information including opportunistic sensing, crowd sensing, and ad hoc sensing
Response of the system including analytics and optimization, distributed action, people as intelligent actuators
Price of anarchy
Hacking the city: the risk for cyberattacks in centralized and distributed systems
Smart city equals smart citizens
Conclusion: Roadmap of the Internet of Things (IoT)
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