IOT Design System

Deepika Singh 
Academic and Technical Writer
For assignment help-infovision.deepika@gmail.com

1   Custom IoT  development  methodology for the Health care system

 

          IOT technology is one of the most revolutionized technology that has shaped the design of modern software-based services in the more adoptable way with advance features. To enable the IOT services , the IoT Platform plays a pivotal role that is a group of technologies that provides the building block for development of the IoT platform for the purposed product. Here in this report the IoT platform development methodologies will be presented. The Evolution framework to be followed for this design process is as follows-

-Defining meta-features

   The purposed platform will provide the support to the health care system that enables the individuals to exploit the on-body both portable and connected sensors for frequently monitoring the health signals originated from the human body. These signals will be related to the body temperature , pulse rate, blood pressure etc., and will be captured through sensors deployed in human body and will be communicated to the heath care analytics server. This is very critical service as it aims to provide life support to the patients. It aims to exploit the sensor-based data for analysing , profiling and managing the connected and smart heath care system( Imreh, Robert & Raisinghani, Mahesh. 2021).

Step-2 Derivation of the feature set

In this phase complete lifecycle coverage with the help of proposed IOT platform is set. In this step the various processes are broken down in following steps-

Initialization- In this step the core objective of the project , schedule , responsibilities and other necessary information for development of the IOT platform is set as well documented. Along with this majorly the feasibility of the proposed application is estimated.

Analysis – In this step the analysis of the requirement for the proposed application is set . As mentioned that the  purposed platform will provide the support to the health care system that enables the individuals to exploit the on-body both portable and connected sensors for frequently monitoring the health signals originated from the human body. So, it is analysed for which apparatuses for supporting the health care system the sensors are required to develop. Along with this the features for security and interoperability is also considered.

Design – In this phase firstly the architecture and technologies for proposed sensors are designed. The networking architecture for the proposed IOT platform is designed . According to the research study conducted the various technologies proposed for supporting the health care system are as follows-

 

Along with this technology for supporting the front end and backend design is also set. We are suggesting Arduino platform as it is widely used and is easily available. Secondly it is compatible with modern technologies. Along with this monitoring system with appropriate log files are also required to develop. To support the services data centre is also required to develop.

Implementation

Here in this phase the design and logic develop is converted in the actual working application with the help of appropriate programming language and platform.

Testing

In this phase the developed application is tested both for the functionality features and working  given as well for the given functionalities in the application.

Deployment

In this phase the proposed application is deployed at the actual working place . Here the proposed application will be deployed with complete training and user manuals. Along with this the features are synchronized according to the deployment site requirement.

Tasks or processes

To develop the IOT product for supporting the processes that were conducted as also explained in above section too are to define the context of the processes , life cycle of the product development, Roles of different human entities and  modelling for data products and modelling languages( Fergus, Kristin. 2012).

Roles

Role	Responsibilities
Project manager	Will perform the responsibility of initiating , planning , executing , monitoring and controlling the IOT product
IOT Architect	Will develop the IOT architecture for the product that meets the stakeholder requirements
IOT Programmer	Will perform the responsibility of implementing the IOT API for providing the interoperability , coding , configuring the smart object at the machine level.
Third party Programmer	Will perform the responsibility of the implementing and supporting of the third-party services
Data/Analyst	Will perform the responsibility of designing and implementing the data models for the data level architecture
Non-relational data storage specialist	Will perform the responsibility of implementing and managing the non-relational SQL technologies
Infrastructure Administrator	Will perform the responsibility of procuring , managing and monitoring the physical platform infrastructure.
Security Specialist	Will perform the responsibility of implementing the mechanism for ensuring the platform’s privacy, security and integrity.
Integrator	Will perform the responsibility of identifying the integration points and implementing the integration layers for addressing the interoperability issues
Medical Staff	Sharing data

 Models /Work Products

Functionalities	Particular constraints	Possible technologies and algorithms
For hospital building	Floor level accuracy	Atmospheric pressure, RFID/Wi-Fi , finger prints , Bluetooth, UWB
For activity recognition	Validity >90%	Accelerometer , RFID , Wi-Fi, decision trees , genetic algorithms , neural network and thresholding
For Vital Sign monitoring such as heart rate	non-invasive method	Electrocardiogram, infrared and acoustic
Classification of the behaviour	High validity required	Neural network, decision tree , k-nearest neighbourhood, genetic algorithms etc.
For control	Fast responsiveness	Inter-integrated circuit and serial peripheral  interface

 

Modelling language

To implement the application with the help of software’s the programming language such as C, C++, Python and Java will be  used. Along with this machine language such as C and Assembly programming language will be used. Proper communication protocols and smart object layer will be developed.

 

Map Table

Method Fragment	Selected/Not Selected	Justification
Lifecycle Phases	yes	It helps in defining the various stages in the chronological sequence for development.
Tasks/processes	yes	it helps in defining the work scope of each process
Roles	yes	Defines the responsibilities of developing team
Modelling language	yes	It helps in defining the programming language required for developing the working application
Model/work product	yes	Helps in defining possible technologies for product development

 

 

 

 

 

 

IOT Methodology Diagram

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2. Strength /Advantages and weaknesses of the IOT methodology selected

            Strengths –

The proposed methodology has defined all the phases in the most acceptable form similar to the traditional software life cycles. The proposed methodology is capable for developing the implementable application. It has provided the features for security too. In the IOT health care applications one of the most important requirement is the localization of the patient or equipment. It is very important for localizing the equipment’s and patients for collecting the signals through the sensors. Along with this each sensor has its own features and complexity as here the signals of equipment’s used for the  purposed platform will provide the support to the health care system that enables the individuals to exploit the on-body both portable and connected sensors for frequently monitoring the health signals originated from the human body. These signals will be related to the body temperature , pulse rate, blood pressure etc., and will be captured through sensors deployed in human body and will be communicated to the heath care analytics server. This is very critical service as it aims to provide life support to the patients (Kumar, Gaurav & Bhatia, Pradeep. 2012). Therefore, to design this system a very systematic approach has been utilized. To achieve the optimal result the problem formulation and product development is performed. The algorithms are also specified  according to the requirement of the health care system. Each stage defined above in the methodology is self-explanatory and helps in providing the support to the development of IOT platform for the health care system. In the above section the purpose of each phase and significance in the development life cycle. Here  in this project mainly sensors are required for collecting the data through various apparatuses attached to the patients and storing the information in the backend server . This methodology  is flexible and provides complete scope for the testing and debugging the errors and faults in the convenient manner. Along with this it is providing complete support for connecting with the IOT system devices and support for IOT

Weakness –

·       Though this methodology has provided a great support for the development of IOT platform for the health care system but the methodology is weak in respect to providing the security mechanism.

·       Along with this architecture system for error and exceptional handling is also not specified.

 

  

Cloud Computing

    Cloud Computing is a technique of modern network technology, that provides the facility of shared computer resources and data and other applications on demand. It provides the facilities to access the applications as utilities through internet.  With the help of Cloud computing we can create, configure and customize the applications online. According to the  definition of National Institute of  Standards and Technology the Cloud Computing Can be defined as –“ Cloud computing is a frame work or model for enabling on demand network access to shared network resources such as network servers, storage application and services with minimal requirement of management effort and service provider interaction. “(Y.Jadeja, K.Modi, 2012, cloud computing and virtual technology, IEEE, ISBN NO- 12762123).

     Cloud Computing has been considered as the next generation technology, Cloud Computing facilitates the users to use Servers, Network , storage etc. for their infrastructure, flexibility to use platform of either Middle ware technology or Operating System and integrating any application software as per organization need. Some of the most prominent Cloud Computing Services providers are Google, Amazon, IBM, Sales Force etc.

 Cloud computing is the most popular networking technique due to following reasons-

·         There is no requirement to develop dedicated system for processing, everything on cloud computing is possible through Internet. There is no requirement of setting a costly server, data storage and application development. So cost of working professional hiring naturally reducing.

·         This is the most cost effective application, helps in reducing the cost in an effective manner.

·          It provides the flexibility   of working from any place. Providing help to the employees as well company in hiring best skill worldwide.

·         It provides better reliability with better online control, strong mechanism for recovery, provides the facility of redundant resources benefit.

·         It provides the better facility of centralized management of all applications, the application to shared can be designed according to the organization requirement.

·         In case of any failure within a small span of time it can be shifted to another network.

·         Cloud computing provides a simple user friendly interface, so that highly technical expertise is not required to manage.

·         Another advantage of using Cloud Computing is that it provides a high level of through put, less time to perform a certain task.

·         Here with the hurdle of data handling and cost factor resolved through Cloud Computing, companies can focus on developing innovative services.

 Biggest Advantage of Cloud Computing- Mobilisation

      One of the biggest advantage of Cloud Computing is in the Mobile Systems, at present the huge amount of work is shifted from Desktop to the Mobile systems, they can be Mobile Phone, Tablets, Kindle and other Digital Devices. Mobilization has provided a great level of flexibility for the employees to the company. As whole data is transferred to the virtual Data Centre so the memory is saved as well the computing capability increases naturally. Cloud computing provides a great support to the processing power. It uses the application of   Data Ware housing techniques. It helps in improving the reliability of the network system [1].

Characteristics of Cloud Computing-

The characteristics of the Cloud Computing Services are as follows-

·         Scalability-One of the biggest feature of Cloud Computing is Scalability of the services.

·         On-Demand Services- Another characteristic of the Cloud computing is Services are available on demand and on pay basis.

·         The User-Centric Interface- the Interface of the Cloud Computing System is developed by keeping in consideration of the user requirement as well organization need.

·         Quality of Service- Cloud computing provides a great level of quality by in terms of bandwidth, performance and memory capacity.

·         Configure Capability-Another characteristic of Cloud Computing is the capability of configuring the system as per requirement.

·         Cost- General Level of Cloud Computing Service is free, as per requirement higher versions can be selected and payment is done as per selected version and features.

·         Virtualization- Another fine characteristic of Cloud Computing is virtualisation by sharing data centres and other resources.

·         Multi – Sharing- Provides the capability to Share a single Cloud –Computing Network among other network too.

·         Loosely Coupled- The Complete Infrastructure of The Cloud Computing, so there is no impact of one functionality on other.

·         Centralization- Cloud Computing provides the facility of control of the whole system through centralized system.

·         Delivery System- Cloud Computing provides the facility of reliable delivery of data within all shared resources. TCP/IP and HTTP Protocols are used for delivery of data. Along with these protocols certain other private network protocols are also implied.

·         Security- The virtualisation and Abstraction feature of the cloud computing provides a great level of security, if in case some part of the information on the cloud gets destroyed still  the virtualisation feature hides the details from getting leaked.