Interoperable Internet-of-Things platform for smart home system using Web-of-Objects and cloud

Iqbal, Asif; Ullah, Farman; Anwar, Hafeez; Kwak, Kyung Sup; Imran, Muhammad Ali; Jamal, Waseef; Rahman, Atta Ur

doi:10.1016/j.scs.2018.01.044

Cited by 77 publications

(37 citation statements)

References 31 publications

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“…For example, a recent IoT-Cloud based smart home automation system using a web platform to control home appliances was reported [1]. In this system, a homeowner can change the appliances' status using HTTP requests.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT based Energy Saving Strategies for Student Hall at University of Chittagong, Bangladesh

Ahmed¹,

Yeasir²

2020

IJCA

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Controlling household electric devices automatically and remotely is of great beneficial and energy saving in modern life. We can design a small IoT based setup that can do a lot of work for us to make life easier. This system can be used in home, office, industries and all other places. Even we can use the system in the case of street light. Disabled people can be greatly benefited by using the system. To implement the system, we need a micro-controller with WIFI module to connect to the Internet. A front-end mobile application and a backend server will work together to make the project work smartly and intelligently. A student residence named 'Shaheed Abdur Rab Hall' in Chittagong University, Bangladesh has been considered for the implementation of the proposed system. It has been found that 24% energy can be saved using the proposed system and it found very much cost effective.

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Section: Literature Reviewmentioning

confidence: 99%

IoT based Energy Saving Strategies for Student Hall at University of Chittagong, Bangladesh

Ahmed¹,

Yeasir²

2020

IJCA

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“…The model used the techniques like embedded data mining, notification service at the edge, distributed storage, etc. Iqbal et al [37] proposed a web-based interpretable IOT platform for smart homes. The cloud-based platform is capable of handling the control of home appliances from any location.…”

Section: Related Workmentioning

confidence: 99%

A Unified Framework for Behaviour Monitoring and Abnormality Detection for Smart Home

Grewal

Kaur

Park

2019

Wireless Communications and Mobile Computing

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With the revolution in smart infrastructure in the recent past, the smart healthcare system has been paid more considerable attention. The continuous upgradation of electricity meters to smart electricity devices has probed into a new market of intelligent data analysis services, providing aid to the health care systems. This paper presents a unified framework for extracting user behaviour patterns from home-based smart electricity meter data. The structure allows exploration and integration of frequent pattern growth algorithm for pattern mining and application of a variety of machine learning algorithms for categorizing the activities into manually labelled classes along with the implementation of Local Outlier Factor method for detection of an abnormal pattern of the inhabitant of smart homes. To evaluate the proposed framework, the work is implemented on the smart electricity dataset from the United Kingdom by separating the data into four distinct data files meant for the morning, afternoon, evening, and night energy utilization records. The results show a remarkable performance of Support Vector Machine (SVM) and Multilayer Perceptron (MLP) classifiers with kappa statics greater than 0.95 for all time slots data. The resultant frequent device utilization patterns with anomaly score more than the threshold value, reflecting abnormal activity patterns, are found more in evening time data in comparison to other time slots, requiring the immediate attention of concerned healthcare authorities.

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“…For flexible profile management they proposed some APIs e.g graphics and window APIs. In case of change in existing middleware specification due to version update or correction architecture supports the updated middleware without modification [64]. They proposed a Universal Middleware Bridge (UMB) architecture that consist of UMB core and UMB adopter.…”

Section: Syntactic Interoperabilitymentioning

confidence: 99%

Interoperability in IOT based smart home: A review

Taj¹,

Asad²,

Azhar³

et al. 2019

RCES

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The IOT Internet of things is rapidly moving towards reality. It is broadly applied to plenty of areas which includes healthcare, smart homes, smart cities, energy management, logistics and to forth. Smart homes are distinct class of IOT environments with a variety of connected heterogeneous devices. Daily life entities connected to the internet are enriched with the capabilities of identifying, sensing and processing. The heterogeneous entities require to execute mutual performance of activities effectively & rapidly. However, with the huge growth of connected devices, the ability of interoperation among devices is going to be a challenge. In this paper a state of the art on interoperability in smart homes is presented. The detailed discussion is given on numerous feature of connectivity protocols used for interoperation, limitation of existing solutions encounters in research.

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Interoperable Internet-of-Things platform for smart home system using Web-of-Objects and cloud

Cited by 77 publications

References 31 publications

IoT based Energy Saving Strategies for Student Hall at University of Chittagong, Bangladesh

IoT based Energy Saving Strategies for Student Hall at University of Chittagong, Bangladesh

A Unified Framework for Behaviour Monitoring and Abnormality Detection for Smart Home

Interoperability in IOT based smart home: A review

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