Internet of Things and Big Data Analytics

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

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Design of Internet of Things and big data analytics-based disaster risk management

Soft Computing ◽

10.1007/s00500-021-05953-5 ◽

2021 ◽

Author(s):

Li Zhou ◽

Heqing Huang ◽

Bala Anand Muthu ◽

C. B. Sivaparthipan

Keyword(s):

Risk Management ◽

Big Data ◽

Internet Of Things ◽

Data Analytics ◽

Big Data Analytics ◽

Disaster Risk ◽

Disaster Risk Management

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The Smart Triad : Big Data Analytics , Cloud Computing and Internet of Things to shape the Smart Home, Smart City, Smart Business & Smart Country

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1449.0982s1119 ◽

2019 ◽

Vol 8 (2S11) ◽

pp. 3594-3600 ◽

Cited By ~ 1

Keyword(s):

Cloud Computing ◽

Big Data ◽

Internet Of Things ◽

Data Analytics ◽

Smart Home ◽

Service Providers ◽

Irrigation System ◽

Electronic Devices ◽

Big Data Analytics ◽

User Privacy

Big data analytics, cloud computing & internet of things are a smart triad which have started shaping our future towards smart home, city, business, country. Internet of things is a convergence of intelligent networks, electronic devices, and cloud computing. The source of big data at different connected electronic devices is stored on cloud server for analytics. Cloud provides the readymade infrastructure, remote processing power to consumers of internet of things. Cloud computing also gives device manufacturers and service providers access to ―advanced analytics and monitoring‖, ―communication between services and devices‖, ―user privacy and security‖. This paper, presents an overview of internet of things, role of cloud computing & big data analytics towards IoT. In this paper IoT enabled automatic irrigation system is proposed that saves data over ―ThingSpeak‖ database an IoT analytics platform through ESP8266 wifi module. This paper also summarizes the application areas and discusses the challenges of IoT.

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Requirements for a Product Lifecycle Management System Using Internet of Things and Big Data Analytics for Product-as-a-Service

Frontiers in Sustainability ◽

10.3389/frsus.2021.735550 ◽

2021 ◽

Vol 2 ◽

Author(s):

Tomohiko Sakao ◽

Alex Kim Nordholm

Keyword(s):

Big Data ◽

Internet Of Things ◽

Data Analytics ◽

Big Data Analytics ◽

Product Lifecycle Management ◽

Product Lifecycle ◽

Use Phase ◽

Lifecycle Management ◽

Original Equipment Manufacturers ◽

The Internet Of Things

Product-as-a-service (PaaS) offerings have advantages and potential for transforming societies to a circular economy and for improving environmental performance. Original equipment manufacturers providing PaaS offerings take higher responsibility for product performances in the use phase than those selling products. This responsibility can be supported by digital technologies such as the Internet of Things (IoT) and big data analytics (BDA). However, insights on how data of product designs and in-use services are managed for PaaS offerings in product lifecycle management (PLM) software are scarce. This mini-review first gives an account of extant major research works that successfully applied BDA, a specific technique of artificial intelligence (AI), to cases in industry through a systematic literature review. Then, these works are analyzed to capture requirements for a PLM system that will exploit the IoT and BDA for PaaS offerings. The captured requirements are summarized as (1) facilitate product and service integration, (2) address multiple lifecycles, (3) adopt an ontology approach encompassing several product standards, and (4) include reading data to process in an interoperation layer.

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