Design and Implement Smart Home Appliances Controller Using IOT

Lonkar, Bhupesh B.; Kuthe, Annaji; Shrivastava, Ritesh; Charde, Pallavi

doi:10.1007/978-3-030-86223-7_11

Cited by 10 publications

(3 citation statements)

References 10 publications

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“…Conduct extensive evaluation and validation of the proposed direction monitoring system in real-world indoor environments. Measure the accuracy of target localization compared to ground truth data using metrics such as mean error distance and localization precision [11]. Assess the system's robustness against environmental factors, signal interferences, and dynamic changes in the indoor space.…”

Section: Evaluation and Validationmentioning

confidence: 99%

IoT Based Advanced Detection Monitoring for Indoor Localization System using WSN Technology

Sachin Katakwar,

Kapil Jajulwar,

Surekha Tadse

2024

Int Res J Adv Engg Hub

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This paper presents an IoT-based approach for advanced detection monitoring in indoor environments leveraging Wireless Sensor Network (WSN) technology. The proposed system utilizes a network of interconnected sensors strategically deployed within the indoor space to accurately localize objects or individuals. Through the integration of Internet of Things (IoT) principles, real-time data transmission and processing are facilitated, enabling efficient monitoring and tracking. The system employs advanced algorithms for data fusion and analysis to enhance localization accuracy and reliability. Additionally, it offers scalability and adaptability, making it suitable for various indoor applications such as asset tracking, security surveillance, and environmental monitoring. Experimental results demonstrate the effectiveness and robustness of the proposed IoT-based indoor localization system.

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Section: Evaluation and Validationmentioning

confidence: 99%

IoT Based Advanced Detection Monitoring for Indoor Localization System using WSN Technology

Sachin Katakwar,

Kapil Jajulwar,

Surekha Tadse

2024

Int Res J Adv Engg Hub

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“…The importance of Decision making has been reported by many researchers in varied fields. Some of them being E-LEACH protocol, Smart Home Appliances Controller Using IOT [10,11].…”

Section: Proposed Workmentioning

confidence: 99%

Water Quality Analysis Using Machine Learning

Kuthe¹,

Bhake²,

Bhoyar³

et al. 2022

IJRASET

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Human beings are dependent on the natural resources that stands for its quality. Climatic changes and environmental impacts have always been under observation. The quality of the products is always measured before use. Water, an inevitable resource ,has got a serious significance in checking its quality due to the influence of various external factors like industrial effluents, acid rain etc. This paper provide same theology for assessing the water quality that uses statistical quality control technique and Machine Learning algorithms to scale up the classification accuracy. The classification is focused on deciding if the water is suitable for drinking purpose. The goal of this study is to develop a water quality prediction model with the help of water quality factors using Artificial Neural Network (ANN) and time-series analysis.

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“…Security and privacy are the main concerns when designing and developing a smart city and home IoT devices [118][119][120][121][122].…”

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confidence: 99%

Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things

et al. 2021

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The Internet of Things (IoT) has changed the worldwide network of people, smart devices, intelligent things, data, and information as an emergent technology. IoT development is still in its early stages, and numerous interrelated challenges must be addressed. IoT is the unifying idea of embedding everything. The Internet of Things offers a huge opportunity to improve the world’s accessibility, integrity, availability, scalability, confidentiality, and interoperability. However, securing the Internet of Things is a difficult issue. The IoT aims to connect almost everything within the framework of a common infrastructure. This helps in controlling devices and, will allow device status to be updated everywhere and at any time. To develop technology via IoT, several critical scientific studies and inquiries have been carried out. However, many obstacles and problems remain to be tackled in order to reach IoT’s maximum potential. These problems and concerns must be taken into consideration in different areas of the IoT, such as implementation in remote areas, threats to the system, development support, social and environmental impacts, etc. This paper reviews the current state of the art in different IoT architectures, with a focus on current technologies, applications, challenges, IoT protocols, and opportunities. As a result, a detailed taxonomy of IoT is presented here which includes interoperability, scalability, security and energy efficiency, among other things. Moreover, the significance of blockchains and big data as well as their analysis in relation to IoT, is discussed. This article aims to help readers and researchers understand the IoT and its applicability to the real world.

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Design and Implement Smart Home Appliances Controller Using IOT

Cited by 10 publications

References 10 publications

IoT Based Advanced Detection Monitoring for Indoor Localization System using WSN Technology

IoT Based Advanced Detection Monitoring for Indoor Localization System using WSN Technology

Water Quality Analysis Using Machine Learning

Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things

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