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The internet of things (IoT) enables people and organizations to connect devices and communicate with each other.
IoT helps increase productivity by sharing vital information, promoting networking, and quickly accessing specific tasks.
Unavailability and inaccuracy in the testing environment of an IoT network can result in incorrect assessment results.
However, these risks of IoT can be mitigated by carefully developing the simulation models.
Risks surrounding IoT solutions, if not taken care of, can result in a huge dive in market share thanks to bad reviews by irate customers, especially if you’re playing in the B2C segment.
Amongst the most popular solutions to mitigate IoT risks are facial recognition, voice printing and geo-location tracking capabilities.
Given below are some of the common risks associated with such networks and the ways to mitigate them.
Unavailability or inaccessibility of the devices, especially the endpoints used to collect data for the network, inaccurate approximation of simulation scenarios and device contracts, and diversity in the structure and working on the endpoints pose significant risks to IoT systems.
IoT solutions are a collaboration of various devices and components operating in sync with each other. For smaller systems like home automation, the devices can be simulated virtually on software and tested. However, for larger projects like monitoring the water level in a dam, the simulation might not be the exact replica of the original device. In such cases, the errors in the simulation of the components can affect the testing.
Some automation systems employing IoT are built to monitor temperatures in nuclear reactors or high-level applications which involve a high risk in running the network solely but are also challenging to replicate just for testing purposes. Misjudgments in simulations may lead to inaccurate testing results that can affect the real-time implementation of the network.
IoT testing is carried out in simulated environments where each element of the network is created virtually. While hardware can be replicated online, it is the software, especially the communication protocols that are hard to simulate. This renders the simulation inaccurate in terms of the communication layers, which in turn affect the testing results.
Source: Jupiter Research
No matter how carefully we build an actual, physical network online, it will always be an approximation of the real system. But what we can try is to develop virtual solutions with low chances of risks. Fine-tuning the device configurations and paying attention to exceptions in a software build can help achieve measures which will lessen the risk factor associated with complex IoT solutions.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.
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