An Efficient Recommendation Filter Model on Smart Home Big Data Analytics for Enhanced Living Environments

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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Enrichment of Smart Home Services by Integrating Social Network Services and Big Data Analytics

2016 49th Hawaii International Conference on System Sciences (HICSS) ◽

10.1109/hicss.2016.59 ◽

2016 ◽

Cited By ~ 4

Author(s):

Maximilian Wich ◽

Tommi Kramer

Keyword(s):

Big Data ◽

Social Network ◽

Data Analytics ◽

Smart Home ◽

Big Data Analytics ◽

Network Services ◽

Social Network Services

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A smart home energy management system using IoT and big data analytics approach

IEEE Transactions on Consumer Electronics ◽

10.1109/tce.2017.015014 ◽

2017 ◽

Vol 63 (4) ◽

pp. 426-434 ◽

Cited By ~ 142

Author(s):

A.R. Al-Ali ◽

Imran A. Zualkernan ◽

Mohammed Rashid ◽

Ragini Gupta ◽

Mazin Alikarar

Keyword(s):

Big Data ◽

Energy Management ◽

Management System ◽

Data Analytics ◽

Smart Home ◽

Big Data Analytics ◽

Energy Management System ◽

Home Energy Management ◽

Home Energy Management System

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Big Data Analytics in Smart Living Environments for Elderly Monitoring

Lecture Notes in Electrical Engineering - Ambient Assisted Living ◽

10.1007/978-3-030-05921-7_24 ◽

2019 ◽

pp. 301-309

Author(s):

Giovanni Diraco ◽

Alessandro Leone ◽

Pietro Siciliano

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Smart Living ◽

Living Environments

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Big Data and Personalisation for Non-Intrusive Smart Home Automation

Big Data and Cognitive Computing ◽

10.3390/bdcc5010006 ◽

2021 ◽

Vol 5 (1) ◽

pp. 6

Author(s):

Suriya Priya R. Asaithambi ◽

Sitalakshmi Venkatraman ◽

Ramanathan Venkatraman

Keyword(s):

Big Data ◽

Data Analytics ◽

Smart Home ◽

Big Data Analytics ◽

Cost Effective ◽

Smart Devices ◽

Home Automation ◽

Open Standard ◽

Iot Devices ◽

And Control

With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.

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INTELLIGENT DEVELOPMENT OF BIG DATA ANALYTICS FOR MANUFACTURING INDUSTRY IN CLOUD COMPUTING

Journal of Ubiquitous Computing and Communication Technologies - December 2019 ◽

10.36548/jucct.2019.1.002 ◽

2019 ◽

Vol 01 (01) ◽

pp. 13-22 ◽

Cited By ~ 7

Author(s):

Abul Bashar

Keyword(s):

Cloud Computing ◽

Big Data ◽

Real Time ◽

Data Analytics ◽

Smart Home ◽

Industrial Development ◽

Manufacturing Industry ◽

Big Data Analytics ◽

City Development ◽

Real Time Monitoring

Big-data analytics being a useful technique in the analyzing the deeper values hidden inside a huge set of data flow that are generated in our day today lives, has almost become more prominent in variety of applications such as industrial development, smart home to smart city development and security management etc., despite its high potentials the challenges incurred makes it insufficient with certain applications that include a real time monitoring, so the paper proposes the real time monitoring of the developing manufacturing industry by proffering the intelligent big data analytics and cloud computing to present with the maximum possible insights to improvise the process of the manufacturing , by retaining the product consistency, optimal throughput and increasing the productivity.

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