Enabling IoT Solutions to become Future proof
The future of technology is subject of research for different firms. One of the main trends are of course the IoT solutions. What is the next big thing. Well IoT solutions are the future of technology in business and in our homes. But what are the necessary components to enable IoT solutions to become future proof?
Components to consider for IoT Solutions
When building solutions to use all the data available there are multiple considerations, that together, introduce unique issues with IoT solutions. In my research I came across the work done by the IBM cloud architecture team . They show the principle components of a IoT Solutions. They created the items considering the Internet of Things solutions and completing it with an architecture . The IoT solutions of the future will focus on the following primary areas:
Data is normally moving in real time and needs analyzing as such. – Streaming solutions to identify changes to data patterns can be used in feedback loops to change the operation of devices. For example, a switch could be activated to release pressure, based upon a sensor’s data that starts to show untypical readings or pressure fluctuations. If done in real time, this can potentially prevent a serious fault in a gas or oil pipeline.
IoT solutions may bring a variety of different data together from video, audio, vibration, temperature, pressure, humidity and more. This can result in huge amounts of data processing, a genuine Big Data use case.
Sensors can be anywhere, and are often mobile. Networks can be complex and their capabilities need some serious consideration. At the edge of the network where instability may occur due to environmental issues, fault tolerance needs building in.
Currently there are many ways that data sensors can communicate to a central point. Bluetooth or Bluetooth Low Energy, Wi-Fi or 2G,3G,4G are all common. All are useful and need to be managed across an IoT solution. It may be that Blue Tooth Low Energy (BTLE) is used at the edge to connect multiple devices to an interim ‘aggregator’ and then that device uses Wi-Fi to send data onto the central systems.
The core systems to analyze IoT data are in the cloud. The demand for resources will vary over time and the processing requirements to model, predict, simulate and visualize the history managing from a single point.
IoT solutions often need much more than just sensor based data to become useful. Combining reports and legacy systems have to become part of the landscape. This requires integration across all system components.
Maintaining the security of a set of devices with location variety geographically, potentially using differing standards and networks is not easy. Being able to prove that such solutions and private and secure where they need to be may be the hardest problem in any IoT solution to solve.
The content for this article is created by the IBM Team of analytics. With gratitude and respect I would like to thank them for this research. We all know that the impact of IoT Solutions in our life is going to be enormous. Connecting devices enables us to spend more time towards the quality of life.