A network of physical things that sense the environment and exchange data over a network, typically the internet.
Examples:
- Smart home appliances (smart thermostats, refrigerators)
- Wearable health monitors
- Smart traffic systems
- Smart agriculture (soil moisture sensors, automated irrigation)
- Industrial sensors in factories
Impact on Society
- Automation
Devices perform tasks automatically based on sensor data. - Remote monitoring
Systems are controlled and monitored over the internet. - Data-driven decisions
Continuous data collection enables analysis and optimization. - Improved efficiency
Energy, time, and other resources are managed more effectively.
History
- 1970s: Early intelligent device concepts emerged with microprocessors and microcontrollers.
- 1989: A modified Coca-Cola vending machine at Carnegie Mellon University became the first internet-connected embedded device.
- 1999: Kevin Ashton coined the term Internet of Things.
- Early 2000s: RFID and cellular communication enabled large-scale deployment.
- 2010s onward:
- Low-cost embedded processors became widely available.
- Mobile communication networks expanded.
- Consumer IoT devices proliferated.
The internet originally enabled people-to-people communication. Machine-to-machine (M2M) communication emerged as embedded devices became smarter.
Related Concepts
- Internet of Everything (IoE)
Connects people, data, processes, and things. - Machine-to-Machine (M2M) communication
Direct device-to-device communication without human involvement. - Web of Things (WoT)
Integrates IoT devices with web technologies. - Industry 4.0
Smart manufacturing and industrial automation. - Industrial Internet of Things (IIoT)
IoT applied in industrial systems. - Pervasive computing
Computing embedded in everyday environments. - Intelligent systems
Systems capable of automated decision making.
An IoT deployment is a System of Systems: independent sub-systems (edge device, network, fog layer, cloud) each complete in their own right, interoperating to form a larger whole.
Commercial Goals
IoT is commercially motivated by 4 goals:
- Reduce operational cost
- Increase efficiency
- Improve customer experience
- Create new revenue streams through data-driven decision making
Challenges
Security
Arise from the large number of connected devices and distributed architectures.
- Device access protection
- Physical security of devices
- Lack of visibility and control
- Malware attacks
- Distributed Denial of Service (DDoS) attacks
Privacy
Arise from IoT data collection and transmission practices.
- Unauthorized access to devices
- Data exposure
- Personal information leakage
- Privacy violations
Technological
Arise from evolving standards and infrastructure dependencies.
- Rapid technological changes
- Dependency on power, networks, and cloud services
- Infrastructure limitations
- Relatively immature ecosystem