Challenges of IoT

Challenges of IoT

There are two categories of challenges to overcome for the IoT organization to grow. It is accepted by all the technologies not only for IoT.

Two significant challenges in IoT:

  1. Technological challenges
  2. Business challenges
Challenges of IoT

Technological challenges

IoT components are implemented using various protocols and technologies. As a result, these components have complex configurations and poor design.

Technological challenges may reflect five parameters.

Security: Security is a fundamental pillar of the Internet. ISOC believes that it is equally necessary and a "more important challenge" for the IoT.

The IoT has caused significant security issues that have attracted the attention of several public and private sector companies around the world. 

Increasing the no of connected devices increases the chances of leveraging security vulnerabilities, as do poorly designed apps. It may expose the manipulation of user data by leaving insufficiently secured data streams. In some cases, human health and safety (implanted, Internet-enabled medical devices and hackable cars) may be at risk.

Connectivity: The most critical challenge in the future of IoT would be to connect multiple devices. This communication will end up resisting the current structure and the technologies associated with it.

Currently, a centralized server/client model is used to authenticate, approve, and link several terminals to a network. This paradigm is only suitable for the current situation and is not applicable to meet future requirements. In this scenario, where billions of devices will be part of the same network, will turn the current centralized system into a bottleneck.

Considerable investment and expense are required to maintain clusters of servers in the cloud, which can handle a large amount of information exchange. Its lack of server availability can cause the system to shut down completely.

Compatibility and Longevity: The IoT is developing in a generalized way. It incorporates many technologies and will soon go to a convention. This will act as severe problems and require the installation of additional software and hardware to establish communication between the devices.

The lack of availability of standardized M2M protocols, non-unified cloud services, and firmware and operating system variants between IoT devices are some of the other compatibility issues. The devices that use these technologies will be irrelevant in the future, as these technologies will become out-of-date very soon.

Standards: Standards: The Absence of standards and documented best practices have a more significant impact than just limiting the potential of IoT devices. As APNIC’s Geoff Huston has pointed out previously, the absence of standards can enable stupid behavior by IoT devices.

Without standards to guide manufacturers, developers sometimes design devices. It works harmful on the Internet without really worrying about their impact. If they are poorly designed and configured, these devices can harm the network resources to which they connect. 

Intelligent Analysis & Actions: The last stage in IoT implementation is extracting insights from data for analysis, where analysis data is depending on cognitive technologies and the accompanying models. It facilitates the use of cognitive technologies.

Business challenges

The main problem is an essential source of inspiration to start, allocate resources, and manage any business. This model must meet all the prerequisites for all types of e-commerce markets. However, this class always undergoes an administrative and legal inspection. The use of IoT technologies plays a vital role in creating an additional source of income to reduce the burden on existing communication infrastructure.

Three categories divided in the business challenges based on usage and clients base:  

  1. Consumer IoT: Consumer IoT includes connected devices such as smart cars, phones, clocks, laptops, connected devices, and entertainment systems.
  2. Commercial IoT includes things like device trackers, inventory controls, and medical devices.
  3. Industrial IoT covers like things as connected electric meters, flow gauges, wastewater systems, pipeline-monitors, robots, and other kinds of connected industrial devices and systems.