Design of Remote Real-Time Monitoring and Control Management System for Smart Home Equipment Based on Wireless Multihop Sensor Network

Su, Chen; Chen, Wenting

doi:10.1155/2022/6228440

Cited by 4 publications

(4 citation statements)

References 29 publications

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“… Emergence and Evolution of Smart Sensors Smart sensors represent a significant advancement over traditional sensors, offering greater functionality, including data processing and communication capabilities. Su and Chen (2022) discussed the design of a remote real-time monitoring and control management system for smart home equipment, emphasizing the role of wireless multi-hop sensor networks. This system exemplifies the use of smart sensors in providing enhanced safety and comfort in modern urban life, demonstrating their ability to efficiently analyze and integrate information for practical applications (Su & Chen, 2022).…”

Section: The Rise Of Smart Sensors: a Paradigm Shift In System Monito...mentioning

confidence: 99%

“…Su and Chen (2022) discussed the design of a remote real-time monitoring and control management system for smart home equipment, emphasizing the role of wireless multi-hop sensor networks. This system exemplifies the use of smart sensors in providing enhanced safety and comfort in modern urban life, demonstrating their ability to efficiently analyze and integrate information for practical applications (Su & Chen, 2022).…”

Section: The Rise Of Smart Sensors: a Paradigm Shift In System Monito...mentioning

confidence: 99%

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Advanced Sensing Techniques in Electro-Mechanical Systems: Surveying the Rise of Smart Sensors and Their Implications for System Robustness

Adebayo Olusegun Aderibigbe,

Peter Efosa Ohenhen,

Nwabueze Kelvin Nwaobia

et al. 2023

Eng. sci. technol. j.

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This study presents a comprehensive review of the advancements in sensing technologies within electro-mechanical systems, with a particular focus on the emergence and impact of smart sensors. The primary aim is to evaluate how these advanced sensing techniques contribute to system robustness and efficiency. The research design includes a systematic literature review, adhering to strict inclusion and exclusion criteria to ensure a focused and relevant analysis. The review encompasses a historical perspective of electro-mechanical systems, the transition from traditional to smart sensing techniques, and the implications of these advancements for various stakeholders. Key findings highlight the evolution from conventional sensing methods to sophisticated, intelligent systems enabled by technologies such as micro-electro-mechanical systems (MEMS), the Internet of Things (IoT), and artificial intelligence (AI). Smart sensors have been shown to significantly enhance the accuracy, efficiency, and reliability of electro-mechanical systems across diverse applications. The study also discusses the opportunities and challenges presented by these technologies, including the need for robust data security, integration complexities, and the development of regulatory frameworks. Strategic recommendations are provided for industry practitioners and policymakers, emphasizing the importance of adaptable and scalable sensor technologies, enhanced data analytics capabilities, and the establishment of comprehensive standards and guidelines. The study concludes with suggestions for future research directions, focusing on the long-term impacts of these technologies, their socio-economic implications, and the exploration of their interoperability with other emerging technologies. This review contributes to the understanding of the current landscape and future prospects of sensing technologies in electro-mechanical systems, offering valuable insights for researchers, industry practitioners, and policymakers in this rapidly evolving field. Keywords: Smart Sensors, Advanced Sensing Technologies, Electro-Mechanical Systems.

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Section: The Rise Of Smart Sensors: a Paradigm Shift In System Monito...mentioning

confidence: 99%

Section: The Rise Of Smart Sensors: a Paradigm Shift In System Monito...mentioning

confidence: 99%

Advanced Sensing Techniques in Electro-Mechanical Systems: Surveying the Rise of Smart Sensors and Their Implications for System Robustness

Adebayo Olusegun Aderibigbe,

Peter Efosa Ohenhen,

Nwabueze Kelvin Nwaobia

et al. 2023

Eng. sci. technol. j.

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“…The significance of related research lies in the fact that through efficient real-time remote monitoring algorithms, potential overheating conditions can be detected and warned in advance, thus allowing for appropriate measures to be taken to prevent them [8][9][10]. Furthermore, these algorithms can assist technicians in understanding the operation of the equipment, optimizing maintenance and operational strategies [11,12].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Remote Monitoring and Overheating Early Warning of Thermodynamic State of Complex Equipment Systems Based on Computer Network Technology

Dai,

2024

IJHT

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With the deepening of industrial technology, the monitoring of the thermodynamic state of complex equipment systems has become a key to ensuring production continuity and safety. The thermodynamic state not only reflects the immediate working performance of the equipment but is also decisive in preventing overheating failures. The application of real-time remote monitoring technology provides a new solution for equipment health management, significantly reducing unexpected downtime, preventing failures, thus improving production efficiency and equipment lifespan. However, existing research still shows limitations in real-time data analysis, diversity of equipment adaptability, and accurate fault prediction. This paper proposes three innovative algorithms for the real-time remote monitoring of the thermodynamic state of complex equipment systems, and a method for mining overheating early warning information. The first algorithm, based on reconstruction error, is suitable for equipment with a large amount of normal operation data, using machine learning technology to accurately simulate the normal state to identify anomalies. The second single-class monitoring algorithm, suitable for situations with only normal operating data, can effectively detect deviations from the normal thermodynamic parameters. The third algorithm, based on statistical quantities, uses the statistical characteristics of equipment operation data for fault warning. In addition, the paper explores the application of the Bucket Sorting Fpgrowth algorithm in the mining of overheating early warning information of the thermodynamic state, analyzing potential fault modes and association rules through efficient data mining technology. These methods not only enhance the applicability and predictive accuracy of monitoring algorithms but also provide valuable decision support for equipment managers.

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“…Practical applications of the outcomes presented in this manuscript would be in (i) Environmental monitoring problems as addressed in [37,38] (ii) Trafc control in cities [39] (iii) Industrial monitoring/control [40] (iv) "Smart" cities [41,42] (v) Health monitoring [43] (vi) "Smart" home applications [44] (vii) "Smart" agriculture applications [45,46] Te rest of the paper is organized as follows: Section 2 presents the methodology. Te sections presented in the methodology include the development of a 3-dimension CB model and the development of a multiple and wide nulling scheme, alongside the general simulation setup.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Multiple and Wide Nulling Collaborative Beamforming Scheme in the Domain of 3-Dimensional Wireless Sensor Networks

Maina¹,

Langat

Kihato

2022

International Journal of Antennas and Propagation

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Null steering is essential in collaborative beamforming (CB) in wireless sensor networks (WSNs) to ensure minimal radiation power and interference in the direction of unintended receivers. Current research in null steering in CB in WSNs is mainly from the perspective of planar arrangements of sensor nodes and sink(s). Furthermore, there is no research dedicated to the formation of multiple wide nulls during CB in 3-dimension WSNs. Wide nulls are ideal in scenarios featuring mobile unintended sink(s). A new multiple and wide null steering scheme applicable to CB in WSNs is presented in this work (from the perspective of a 3-dimensional random arrangement of static sensor nodes). It is assumed that desired nulling directions are implicitly known at a CB cluster head. A particle swarm optimization (PSO) algorithm variant is applied in concurrent node transmit amplitude and phase perturbation with an aim of achieving beam steering alongside multiple and wide null steering. The performance of the proposed null steering scheme is validated against a basic null steering approach (with reference to current literature). Furthermore, a comparative null depth, width, and nulling accuracy analysis are done upon varying the count of collaborating nodes and the collaborating cluster radius. An increase in the number of collaborating nodes is found to increase nulling depth at an exponentially decaying rate. An increase in the collaborating nodes’ cluster radius yields a reduction in null width. The contributions of this work to the existing literature are as follows: (i) the design and investigation of a null steering scheme from the perspective of a 3-dimension random arrangement of sensor nodes; (ii) the design of a concurrent beam steering and multiple wide null steering scheme on the basis of concurrent node transmit amplitude and phase perturbation whilst ensuring null depth uniformity; (iii) a statistical analysis of the impact of a count of collaborating nodes and collaborating cluster radius on nulling performance; (iv) investigation of capacity improvement at unintended receivers upon null steering.

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Design of Remote Real-Time Monitoring and Control Management System for Smart Home Equipment Based on Wireless Multihop Sensor Network

Cited by 4 publications

References 29 publications

Advanced Sensing Techniques in Electro-Mechanical Systems: Surveying the Rise of Smart Sensors and Their Implications for System Robustness

Advanced Sensing Techniques in Electro-Mechanical Systems: Surveying the Rise of Smart Sensors and Their Implications for System Robustness

Real-Time Remote Monitoring and Overheating Early Warning of Thermodynamic State of Complex Equipment Systems Based on Computer Network Technology

Design and Analysis of a Multiple and Wide Nulling Collaborative Beamforming Scheme in the Domain of 3-Dimensional Wireless Sensor Networks

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