Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology

Lee, Chun-Te; Chen, Liang-Bi; Chu, Huan-Mei; Hsieh, Che-Jen

doi:10.1109/access.2022.3158494

Cited by 14 publications

(7 citation statements)

References 46 publications

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“…An IoT-based leader-follower efficient office lighting automation system is suggested by Lee et al [4]. When no one is present, the technology organizes a system counter and an infrared human motion sensor to convert indoor LED lights to low-light mode.…”

Section: Related Workmentioning

confidence: 99%

Energy Management System of Luminosity Controlled Smart City Using IoT

Sathesh Raaj,

Vijayprasath,

Ashokkumar

et al. 2024

EAI Endorsed Trans Energy Web

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INTRODUCTION: With the escalating rates of urbanization, there is a pressing need for enhanced urban services. The concept of smart cities, leveraging digital technologies, offers a promising solution to elevate urban living. The integration of Internet-of-Things (IoT) in urban infrastructure, particularly on highways, opens avenues for novel services and cross-domain applications through Information and Communication Technologies. However, the efficient functioning of an IoT-enabled smart city necessitates careful energy resource management. OBJECTIVES: Propose a Highway Lighting System (HWLS) integrating IoT technologies to enhance urban services, focusing on significant energy savings and real-time environmental parameter monitoring. METHODS: To achieve the objective of enhancing urban services through the proposed Highway Lighting System (HWLS), the system was designed and implemented by integrating cutting-edge sensors, communication links, and the Blynk IoT app. The deployment involved incorporating IoT technologies for real-time monitoring of air quality, air moisture, and soil moisture, alongside a fault identification system using GSM and GPS modules. RESULTS: The proposed HWLS demonstrates significant energy savings, consuming only 37.6% of the original power consumption. The incorporation of IoT technologies facilitates real-time monitoring of environmental parameters, enabling informed decision-making for urban service optimization. The fault-finding system, utilizing GSM and GPS modules, enhances the reliability of the lighting system. CONCLUSION: In conclusion, the Highway Lighting System (HWLS) represents a novel approach to smart city infrastructure, particularly in the context of urban lighting. The integration of IoT technologies not only contributes to energy savings but also enhances the overall efficiency of urban services. The proposed system's ability to monitor environmental parameters and identify faults demonstrates its potential for sustainable urban development and improved quality of life.

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Section: Related Workmentioning

confidence: 99%

Energy Management System of Luminosity Controlled Smart City Using IoT

Sathesh Raaj,

Vijayprasath,

Ashokkumar

et al. 2024

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

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“…According to the development of smart lighting systems, in a study by Lee, Chun et al (2022), a smart lighting system was developed for real-world applications [22]. The system was designed to satisfy the illuminance requirements of different users and reduce energy consumption.…”

Section: Energy Savings User Preferences Sensing Devices Schedulingmentioning

confidence: 99%

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Widartha,

Ra,

Lee

et al. 2024

JLPEA

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Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.

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“…Technique RES Comfort Users [9] Trigger Centralized [10] Linear Centralized [11] MPC Centralized [12] Optimization Centralized [13] Optimization Decentralized [14] DL Centralized [15] SAX Centralized [16] GOA, BFA Centralized [17] Trigger Centralized Our Genetic Hybrid to manage the energy exchanges within a community of Smart Buildings. The proposed algorithm takes care of the power profiles of the users and, through a shared objective function, attempts to optimize consumption based on a set of renewable energy sources.…”

Section: Ref Approachmentioning

confidence: 99%

A Cognitive Social IoT Approach for Smart Energy Management in a Real Environment

Marche

Soma

Nitti

2023

IEEE Trans. Netw. Serv. Manage.

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Energy usage inside buildings is a critical problem, especially considering high loads such as Heating, Ventilation and Air Conditioning (HVAC) systems: around 50% of the buildings' energy demand resides in HVAC usage which causes a significant waste of energy resources due to improper uses. Usage awareness and efficient management have the potential to reduce related costs. However, strict saving policies may contrast with users' comfort. In this sense, this paper proposes a multi-user multi-room smart energy management approach where a tradeoff between the energy cost and the users' thermal comfort is achieved. The proposed user-centric approach takes advantage of the novel paradigm of the Social Internet of Things to leverage a social consciousness and allow automated interactions between objects. Accordingly, the system automatically obtains the thermal profiles of both rooms and users. All these profiles are continuously updated based on the system experience and are then analysed through an optimization model to drive the selection of the most appropriate working times for HVACs. Experimental results in a real environment demonstrated the cognitive behaviour of the system which can adapt to users' needs and ensure an acceptable comfort level while at the same time reducing energy costs compared to traditional usage.

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Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology

Cited by 14 publications

References 46 publications

Energy Management System of Luminosity Controlled Smart City Using IoT

Energy Management System of Luminosity Controlled Smart City Using IoT

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

A Cognitive Social IoT Approach for Smart Energy Management in a Real Environment

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