Energy Management System of Luminosity Controlled Smart City Using IoT

Authors

  • R Sathesh Raaj Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology image/svg+xml
  • S Vijayprasath PSNA College of Engineering and Technology
  • S R Ashokkumar Sri Eshwar College of Engineering image/svg+xml
  • S Anupallavi VSB College of Engineering
  • S M Vijayarajan NPR College of Engineering and Technology

DOI:

https://doi.org/10.4108/ew.5034

Keywords:

Internet of Things, Highway Lighting System, GSM, GPS

Abstract

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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References

A.Prasanth, G.Sabeena, Sowndarya, N.Pushpalatha. An artificial intelligence approach for energy-aware intrusion detection and secure routing in internet of things-enabled wireless sensor networks. Concurrency and Computation: Practice and Experience. 2023; 35 (23):1-21. DOI: https://doi.org/10.1002/cpe.7818

P.Paruthi Ilam Vazhuthi, A.Prasanth, SP.Manikandan, KK Devi Sowndarya. A hybrid ANFIS reptile optimization algorithm for energy-efficient inter- cluster routing in Internet of Things-enabled Wireless Sensor Networks. Peer- to-Peer Networking and Applications. 2023; 16 (2):1049-1068. DOI: https://doi.org/10.1007/s12083-023-01458-0

Lokhande, H.N, Markande, S.D. Adaptive Street Light Controlling for Smart Cities. International Journal of Applied Engineering Research. 2018; 13(10):7719-7723.

Lee, C, Chan, L, Chu, H, Hsieh, C. Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology. IEEE International Journal of Advanced Research in Applied Science and Technology. 2022; 10(1):28066-28079. DOI: https://doi.org/10.1109/ACCESS.2022.3158494

Jain, K, Surana, M, Meena, P, Meena, R. Smart Street Light System Based on Arduino. International Research Journal of Modernization in Engineering Technology and Science. 2022; 4(5):1944-1946.

Chamola, P, Noor, A. Smart Street Lights System. International Journal of Advanced Research in Engineering and Technology. 2018; 9(5): 23-27.

Arthi, J, Lydiapreethi, W, Gunasundari, B. IoT Based Smart Led Street Lighting System. International Journal for Research Trends and Innovation. 2017; 2(4): 72-75.

Patil, S.P., Nagnath, C, Savant. Street Light Energy Conservation System using PIR Sensor. Global Research and Development Journal for Engineering. 2016; 1(5): 55-58.

Kaleem, Z, Yoon, T.M, Lee, C. Energy efficient outdoor light monitoring and control architecture using embedded system. IEEE Embedded System Letters. 2015; 8(1): 18–21. DOI: https://doi.org/10.1109/LES.2015.2494598

Elejoste, P, Angulo, I, Perallos, A, Chertudi, A. system based on wireless communication and LED technology. MDPI Journal. Sensors.2013; 13(5): 6492–6523. DOI: https://doi.org/10.3390/s130506492

Perkasa, R, Wahyuni, R, Melyanti, R, Herianto, H, Irawan, Y.: Light control using human body temperature based on Arduino uno and PIR (passive infrared receiver) sensor. J. Robot. Control.2021; 2(4): 307–310. DOI: https://doi.org/10.18196/jrc.2497

Lestari, U, Fatkhiyah, E, Prakoso, A.F.: Application of home light control system using Arduino with mobile based WIFI media. International Journal Information System and Computer Science.2019; 2(1):67–75. DOI: https://doi.org/10.56327/ijiscs.v2i2.606

Chamola, P, Noor, A. Smart Street Lights System. International Journal of Advanced Research in Engineering and Technology. 2018;9(5): 23-27.

Saravanan, R., Sathesh Raaj, R., Suganya Thevi, T., Karthika, K., Ashok Kumar, S. Design and implementation of automated parcel sorting mechanism using Arduino. International Journal of Civil Engineering and Technology. 2018; 9(11): 2157–2163.

Premkumar, M, Ashokkumar, S.R, Mohanbabu, G, Jeevanantham, V, Jayakumar, S. Security behavior analysis in web of things smart environments using deep belief networks. International Journal of Intelligent Networks. 2022; 3(1):181–187. DOI: https://doi.org/10.1016/j.ijin.2022.10.003

Mishra, S, Gupta, S, Singh, S, Tiwari, T, Mohan, A. Arduino Based Led Street Light Auto Intensity Control System. International Journal of Advanced Research in Engineering Technology & Sciences.2016;3(4):73-77.

Ashokkumar, S.R., Harihar, R., Subhashini, R., & Prasanth, N. A Literature Survey on Artificial Intelligence-Based Smart City Automation Using LoRa and IOT for Street Lights and Air Quality Check. Proceedings of IEEE International Conference on Computer, Power and Communications. 14-16 December 2022; Chennai, India. Place of publication: IEEE; 2023. p. 149-152.

Sathesh Raaj, R., Govardhan, N. Thirumurugan, P. GSM based gas leakage prediction using IOT. Proceedings of AIP Conference Proceedings. 12-13 February 2021; Warangal, India. Place of publication: AIP Publishing; 2022. 2418(1). p. 030008-1-11.

Premkumar, M., Jeevanantham, V., & Anupallavi, S. Design of an EEG-based transceiver with data decomposition for IoHT applications. Proceedings of IEEE International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud). 11-13 November 2021; Palladam, India. Place of publication: IEEE;2021. p. 258-262.

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Published

05-02-2024

How to Cite

1.
Sathesh Raaj R, Vijayprasath S, Ashokkumar SR, Anupallavi S, Vijayarajan SM. Energy Management System of Luminosity Controlled Smart City Using IoT. EAI Endorsed Trans Energy Web [Internet]. 2024 Feb. 5 [cited 2024 Nov. 2];11. Available from: https://publications.eai.eu/index.php/ew/article/view/5034