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IoT Decision Framework

Arjun / 27 Nov 2020 / IOT Basics | IOT Industry

An IoT system encompasses the five layers of technology:

 Device hardware

•Device software

•Communications

•Cloud Platform

•Cloud Application

 

Each stage has numerous decision-making opportunities. With the right IoT decision framework, you can adopt a structured approach to IoT product strategy. It provides an overview of the areas that need to be strategized at every level of the stack. With IoT devices, there is sensing and transfer of data from the connected devices. The framework includes cloud support. Some of the popular IoT frameworks include Cisco IoT Cloud Connect, SAP IoT, Hewlett Packard Enterprise, KAA IoT, ZETTA IoT, IBM IoT, and Google Cloud Platform –IoT network

 

What is IOT Decision Frameworks 

With the careful implementation of the IoT framework, you can ensure communication protocols for hardware and software, information flow, device management, and seamless app functionalities. Some of the critical areas of decision-making include:

 

UX – User Experience: Here, you need to take stock of the users of the IoT device and what they require. The objective is to provide the user with a useful experience, sans any technical involvement. 

 

Data: The flow of data has to be decided to achieve the objectives. Data is a critical parameter in the entire chain. Design for data collection, transfer, and analysis must be planned to optimize battery power and make optimum use of available bandwidth. There might be latency that can be critical for certain applications. 

 

Business: How the IoT device or service can be monetized is a key decision to take. You have to clearly define the financial viability of the IoT product or service. Taking decisions concerning the business implementation of IoT products or services is paramount to the viability of the IoT system. Quantitative analysis of ROI (Return on Investment) must be undertaken to understand the viability of the IoT solution.

 

Technology: At this stage, key technology decisions have to be taken to facilitate the development of a solution that meets the objectives. 

 

Security: Security is an important consideration while developing the IoT system. With wireless connections and configuration and inherent security vulnerabilities, companies can be liable to huge legal implications regarding the safety of data and its usage.

 

Standards & Regulations: You have to identify the standards as well as regulations that affect your IoT product or service. IoT products are not standalone devices but part of a network of devices. With multiple standards, it can become difficult to integrate devices.

 

Popularly used IoT frameworks

 

1. KAA IoT

Hailed as a rich open-source IoT cloud platform, KAA IoT allows you to manage various connected devices that are interoperable. You can monitor the devices and configure them remotely. With the KAA IoT framework, the linked devices can exchange information.  

 

2. ZETTA IoT

ZETTA IoT framework is a result of the development of NodeJS and REST. IT used the API strip flow-based reactive programming philosophy. This framework provides visualization machine analysis tools like Splunk.

 

3. Cisco IoT Cloud Connect

Highly secure and robust, the Cisco IoT Cloud Connect manages IoT data with the Cisco Kinetic IoT platform. Its secure IoT architecture allows for safe extraction, movement, and computation of data

 

4. Salesforce IoT

Powered by Thunder, Salesforce IoT has a huge share of the IoT framework market. Thunder is an event-processing engine that allows you to capture, filter, and respond to an even in real-time. You can make use of open-source tools for data filtering, data streaming, and data analytics. The Salesforce Einstein Analytics allows you to process data obtained from IoT devices, website logs, ERP, and more.

 

5. SAP IoT

SAP IoT provides a simple yet effective environment to build your IoT application. You can remotely manage and monitor your connected devices either directly or through the cloud. With the SAP IoT, applications for AI and Machine Learning can be developed.

 

6. Google Cloud Platform – IoT Framework

One of the best features of the Google Cloud Platform is the capacity to process huge amounts of data with the Cloud IoT Core. You can conduct advanced data analysis with its Big Query and Cloud Data Studio tools.

 

7. IBM Watson – IoT framework

Popular with developers of IoT products, the Watson IoT platform is supported by the hybrid cloud Bluemix. With real-time data exchange and secure data storage and communication, IBM Watson can be used for IoT app development.  

 

8. AWS

AWS (Amazon Web Services) is another widely-used IoT application that offers database, security, and cloud computing facilities. You can use the AWS cloud service for regional distribution. Hardware is provided by Qualcomm, Broadcom, Texas Instruments, and Intel. 

 

9. OSS IoT frameworks

You can use open source IoT tools as they are scalable and customizable. Developers of IoT systems can move between various frameworks seamlessly. Other than being more reasonable to implement, OSS IoT frameworks allow flexibility in the deployment of IoT systems. But the vulnerability of data is an area of concern. Often some of the standard features available in the OSS might not be suitable to address all your business requirements.

 

Final Thoughts

Here we have discussed some of the popular and effective concepts of IoT Decision Framework which can be useful in creating IoT-based business infrastructure.