IoT Enabling Technologies: What Powers Smart Devices

iTable of Content

• 1. Wireless Sensor Networks (WSN): the Eyes and Ears of the IoT
  
• 2. Radio Frequency Identification (RFID): Identity verification in stealth
  
• 3. Middleware: The Connector between devices and applications
  
• 4. Cloud and Edge Computing: How is your IoT data processed?
• 5. Communication Protocols and Standards
• 6. Enabling Technologies for IoT: Security Frameworks
• Explain enabling technologies in iot
• FAQs

Whenever a smart thermostat pre-warms your house for your return, or your fitness tracker updates an app with your heart rate, there’s an underlying architecture of technology working to accomplish the task. This isn’t magic or a coincidence. It is made possible by the specialized and intertwined IoT enabling technologies that allow physical objects to sense, communicate, compute, and act with regard to certain data, without human intervention. Learning what these technologies are and how they work together provides insight into why the Internet of Things is transforming every business sector from health care to manufacturing.

 IoT enabling technologies are defined as all the hardware, software, communication protocols, and platforms that are utilized to create connected devices. Without these elements as the foundation, an IoT-enabled device would be nothing but plastic and metal. Every IoT-enabling technology is essential for a device, from micro sensors embedded in soil to monitor the humidity levels to cloud platforms that are designed to interpret millions of data points per second. This blog covers the core IoT enabling technologies and explores what they do and why they are significant to us.

1. Wireless Sensor Networks (WSN): the Eyes and Ears of the IoT

A WSN is the information-collecting spine of any iot enabled technologies setup. A WSN consists of sensors deployed across an area that gather information about physical or environmental conditions and send it wirelessly to some central gathering point to be interpreted.

Why WSNs are important:

●      A typical sensor node is made up of a microcontroller, a sensing unit, a power source, and a wireless transceiver.

●     They send information to other nodes via a mesh-type topology, meaning that data will be rerouted even if some of the nodes in the network are non-functional.

●     Applications can range from precision agriculture, where soil temperature is measured, to industrial settings for monitoring air quality and detecting gas leaks, to a whole smart city environment.

●     Energy efficiency is probably one of the defining features of these sensors; most of them rely on batteries to run, thus forcing the use of special protocols and hardware to minimize energy consumption.

The most mature technologies are among the oldest, and their incremental development has had an impact on the iot enabling technologies scalability and strength increase.

2. Radio Frequency Identification (RFID): Identity verification in stealth

RFID is an RFID identification and tracking technology without requiring physical or line-of-sight access to the object to be identified. RFID consists of an identification tag connected to the object, an RFID reader emitting the radio signal, and application software to interpret the data received.

In practice:

●     Power for Passive RFID tags is taken from radio waves transmitted from the RFID reader; No battery is required for a passive RFID tag.

●     Power for Active RFID tags: Has a battery in active RFID tags, and a higher transmitting range (100m).

●     In the retail sector, RFID allows for effective stock control, where it reduces the counting times of the stocks from several hours to a few minutes.

●      In the medical field, the wristbands of patients with an RFID tag enable nurses to follow the drug administration to the patients, thereby decreasing errors.

●     Airports and logistics companies use RFID to follow the tracking of baggage or goods in their long and complex journey along the entire supply chain.

●     RFID is considered one of the key enablers of the IoT concept, creating a link between the physical and the digital space, avoiding any sort of scanning and manual supervision of items.

3. Middleware: The Connector between devices and applications

Middleware is the software layer positioned between hardware devices and the application using the data derived from them. Without it, data generated by devices like sensors, RFID, and others would merely be unstructured and thus of no value for any given application.

Core middleware functionalities for iot enabling technologies:

●     Device management: Handles the registration, authentication, and configuration of devices connected.

●     Data abstraction: Translate different forms of data from different devices to a standard form that the application can understand and process, regardless of the input device type.

●     Event processing: This function allows filtering, aggregating, and routing information to end applications in real-time.

●     Security: Can provide features such as encryption, authentication, and data validation between the devices and applications.

The most popular IoT middleware platforms include AWS IoT  Core, Microsoft Azure IoT Hub, and IBM Watson IoT. These are a central piece in enabling the enterprise-wide scaling of IoT devices. They are capable of connecting millions of devices concurrently.

4. Cloud and Edge Computing: How is your IoT data processed?

A large amount of data will be gathered from the devices within the Internet of Things, and in order to become useful data, they must be processed somewhere. Cloud computing and edge computing are two of the complementary ways to process this data, and they are recognized as two of the enabling technologies of the Internet of Things.

Cloud computing and IoT:

●     High-performance centralized processors will analyze the massive streams of data originating from thousands of sensors

●     A range of scalable storage options, machine learning, and visualization capabilities are available on cloud platforms

●     However, the distance the data travels creates issues for latency-dependent applications

Edge computing and IoT:

●     Data processing is occurring at or near the source (an edge gateway or an actual IoT device)

●     Significant advantages are provided for data latency, bandwidth consumption

●     Autonomous vehicles' split-second reactions must rely on edge computing and cannot be time-dependent on traveling to the cloud and back

●     Filtering of the many sensor data streams can occur at the edge device, before data leaves the production floor of a smart factory

●     It is possible to provide two simultaneous and efficient solutions by the combination of cloud and edge computing.

5. Communication Protocols and Standards

For devices to send information to other devices and receive information from other devices, the transmission should be made in a uniform and effective manner. This requires the devices to have a common language. This language is specified by the communication protocols and defines what the device should use for its data.

The main communication protocols that will facilitate the flow of information between devices are:

●     MQTT (Message Queuing Telemetry Transport): Designed for environments with low bandwidth and high latency. One of the most commonly utilized protocols in enabling technologies for iot enabling technologies is used predominantly for monitoring remote systems.

●     CoAP (Constrained Application Protocol): This protocol is best suited to constrained devices. It enables web-style interaction to take place between constrained devices.

●     Zigbee and Z-Wave: Short-range protocols commonly used for smart home device communication, e.g. Smart locks, smart lights, and smart sensors for a local mesh network.

●     Bluetooth Low Energy (BLE): Short-range and low-energy consumption communication protocol. This technology is widely used for smart wearable devices.

●     LoRaWAN: Wide area network protocol. Designed for long-range, low-power transmission, typically used for smart city and agriculture applications.

 The specific application will require a protocol suited to its needs in terms of power, bandwidth, range, and latency. The variety in available protocols indicates that there isn't a "one-size-fits-all" approach.

6. Enabling Technologies for IoT: Security Frameworks

Security in IoT should not be treated as a post-production feature, but as an intrinsic requirement. Connected and mostly unattended devices create security concerns unlike anywhere else. For these reasons, security frameworks are a major part of enabling technologies for IoT.

Key security components of the frameworks:

●     Authentication of the device. This part authenticates the devices so that the real device would connect to the network (e.g. Use digital certificates, token-based authentication).

●     Data encryption. It will secure sensitive data from being read when data is on the road or when it is at rest, using mechanisms such as at-rest encryption and transport encryption (TLS).

●     Firmware updates OTA: OTA updating gives the manufacturers the ease to patch firmware and fix the security exploits without direct physical contact of devices.

●     Network segmentation: It separates IoT devices onto isolated networks, thereby creating a perimeter between sensitive internal networks and devices that are probable targets of attack and also susceptible to attack.

It is crucial to realize that iot enabling technologies device vulnerabilities have a practical significance. In 2016, a botnet of insecure IoT devices, known as Mirai, infiltrated over 100,000 devices and executed a large-scale distributed denial of service attack (DDoS).

 This attack served as a catalyst for the industry to start developing security into IoT devices from conception.

Explain enabling technologies in iot

A good analogy for enabling technologies in  iot enabling technologies is team members. Each layer represents one role. sensors collect the data. Communication protocols provide a language to relay data. Middleware organizes the data. Cloud/edge computing provided a workplace. AI does smart stuff with the data. Security makes sure data is safe, and no intruders get in. Each layer is linked to the others. If you take one out, the whole system breaks or weakens.

FAQs

1. What are IoT enabling technologies?

Hardware, software, protocols, and platforms that can connect and enable the data exchange among physical devices over the Internet.

2. How does RFID contribute to IoT?

RFID technology provides wireless identification and tracking of objects and helps greatly in applications like supply chain, hospital, and retail.

3. Why is edge computing important for IoT?

Edge computing reduces latency by processing data at the source and saves bandwidth consumption for the device, making it very useful for real-time applications such as autonomous driving and smart manufacturing.

4. How is AI used to improve IoT systems?

IoT devices produce huge amounts of data that can be used by AI applications for anomaly detection, predictive maintenance, and automation.

5. What is MQTT, and why is it used in IoT?

MQTT is a lightweight messaging protocol used in low-bandwidth settings and has a lot of applications in the field of IoT since it operates well in resource-constrained and unstable network environments.