Trends in smart object in IOT

Trends in Smart Objects in IOT Smart Objects are objects that are equipped with positioning and communication technologies and are integrated into a communication network, the so called Internet of Things (IoT) These intelligent objects can enter, store and process data and interact with other objects, systems or people. They can be embedded or fixed in other objects and capture data about position and sensors, as well as execute decision and control functions.

Smarts Objects in IoT The concept of smart in IoT is used for physical objects that are active, digital, networked, can operate to some extent autonomously, reconfigurable and has local control of the resources. The smart objects need energy, data storage. A smart object is an object that enhances the interaction with other smart objects as well as with people also. The world of IoT is the network of interconnected heterogeneous objects (such as smart devices, smart objects, sensors, actuators, RFID, embedded computers, etc.) uniquely addressable and based on standard communication protocols.

Classification of Smart objects 1. Mobile or Static 2. Low or Excessive Reporting Frequency 3. Battery-Powered or Power-Connected 4. Simple or Rich Data 5. Object Density Per Cell 6. Report Range

Advantages in designing IoT systems 1. Energy saving is one of them. Smart objects are usually powered by battery.

2. The second advantage is automation. IoT smart objects are autonomous and selfgoverned.

3. They operate independently and can collaborate with other objects globally.

Challenges of Using Smart Objects 1. Smart objects are often constrained devices and are usually powered by battery.

2. Frequently they are working in real-time mode. These are the main causes of the challenges.

3. Other challenge is connectivity. Currently a large number of networking technologies are being employed in connecting physical devices together and to the Internet.

Higher Bandwidth Applications Until recently, IoT has been held back by the type and volume of data that its applications were able to handle. But in 2023, we are seeing the IoT trend of a move into the area of higher bandwidth applications with larger volumes of data being transmitted at higher rates. And this is going to lead to a significant enlargement of the potential for the technology.

Real-Time Data Processing With higher bandwidths, comes increased capability. So, we will see a lot more companies using IoT for real-time data processing by centralized services. One of the major issues with IoT tech has been the enormity of the data sets produced. While machine learning and machine-to-machine processing are already deployed to expedite data analysis, there is still a lag between data collection and processing/analysis in most areas. In 2023, there is going to be a greater push toward real-time analysis in a wide range of scenarios, including video.

Drone & Autonomous Machine Applications In November 2022, Science Direct published an article about the IoT. Referring to “things that can conduct necessary actions autonomously by employing AI algorithms without the need for human interference or contact.” So far, there have been limited applications capable of achieving this. However, there will be notable growth in this area as we move through the year.