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Advanced IoT Sensor Networks for Next-Generation Smart Home Activity Monitoring: A Privacy-Aware, Energy-Efficient Approach
dc.contributor.author | Tejasri, N. | |
dc.contributor.author | Sruthi, Vaikunta | |
dc.contributor.author | Pratima, Vara | |
dc.contributor.author | Sri, Vasam Indhu | |
dc.date.accessioned | 2025-04-11T07:44:29Z | |
dc.date.available | 2025-04-11T07:44:29Z | |
dc.date.issued | 2024-12-31 | |
dc.identifier.citation | N. Tejasri, Vaikunta Sruthi, Vara Pratima, Vasam Indhu Sri (2024). Advanced IoT Sensor Networks for Next-Generation Smart Home Activity Monitoring: A Privacy-Aware, Energy-Efficient Approach. Journal for Educators, Teachers and Trainers JETT, Vol.15(5); ISSN:1989-9572 | es_ES |
dc.identifier.issn | 1989-9572 | |
dc.identifier.uri | https://hdl.handle.net/10481/103596 | |
dc.description.abstract | The advent of smart home technology has revolutionized the way we interact with our living environments, making everyday tasks more convenient, energy-efficient, and secure. Central to this innovation is the role of IoT sensor networks in monitoring resident activities, enhancing safety, and improving overall well-being. However, current activity monitoring systems face significant challenges, including sensor accuracy, data processing efficiency, energy consumption, and privacy concerns. Traditional systems, reliant on basic sensors and limited integration, fall short in providing comprehensive and real-time analysis, resulting in inefficiencies and scalability issues. Therefore, this project aims to enhance activity monitoring in smart homes through the integration of advanced IoT sensor networks. By addressing the limitations of traditional systems, the proposed solution seeks to provide accurate, reliable, and real-time monitoring capabilities. Enhanced sensor integration and data analytics will enable the detection of unusual activities, optimizing energy use, and supporting health monitoring, particularly for the elderly and disabled. Furthermore, the project emphasizes the importance of maintaining privacy and ensuring low energy consumption, thereby creating a sustainable and user-friendly system. The significance of this project lies in its potential to improve residents' quality of life, offering a safer, healthier, and more convenient living environment. Advanced activity monitoring will not only lead to smarter home automation but also drive innovation in IoT technologies and sensor networks. As the demand for smart home solutions grows, the proposed system will position itself at the forefront of market trends, delivering a competitive edge through superior performance and user-centric design. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Universidad de Granada | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Smart home technology | es_ES |
dc.subject | IoT sensor networks | es_ES |
dc.subject | Activity monitoring | es_ES |
dc.subject | Real-time analysis | es_ES |
dc.subject | Energy efficiency | es_ES |
dc.subject | Data analytics | es_ES |
dc.title | Advanced IoT Sensor Networks for Next-Generation Smart Home Activity Monitoring: A Privacy-Aware, Energy-Efficient Approach | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.type.hasVersion | VoR | es_ES |