UPSI Digital Repository (UDRep)
Start | FAQ | About

A comparative power analysis for an intelligent green house on a LORA system

AVAILABLE Article 1724 Views
Back to search
Scan QR Code to share or view item link:

Digital Assets & Download Files
Login required to access this item.
General Information Cached
Title
A comparative power analysis for an intelligent green house on a LORA system
Type
Article
Main Author
Che Zalina Zulkifli
Additional Authors
  • Nurfarhanah Omar
  • Mimi Suhana Abd Aziz
  • Amiruddin
  • Bunyamin M Yapid
  • Suci Ayu Kurniah Putri
  • Nani Harlinda Nurdini
Subject
L Education (General)
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Seni, Komputeran dan Industri Kreatif
Year of publication
2019
Degree Type
Others
Corporate Name
Universiti Pendidikan Sultan Idris

Abstract

Smart gardens and aquaponics are sustainable systems in the world of agriculture. These systems can be highly successful if they have intensive monitoring. The water flow should be managed periodically to ensure that the plants get sufficient nutrients and the water quality can be monitored consistently. In this research, Smart Garden and Aquaponics systems were designed to control and monitor the water’s pH level, turbidity, temperature, and humidity by integrating an Internet of Things (IoT) application. The systems were installed with sensors to retrieve data by using Long Range Radio (LoRa) to transmit in its cloud, and can be accessed in real time. Effective power consumption is important in this situation. Thus, power consumption during transmitting and receiving LoRa standalone and integration of LoRa with sensors was compared. These comparisons demonstrate LoRa’s integration with sensors did not over-state the standalone LoRa  

References

Abdul-Salaam _ A. H. Abdullah, (2015). A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture. Precision Agric, 16: 216–238, DOI 10.1007/s11119-014-9371, https://www.researchgate.net/publication/272017425

Albert, P., Berger, A. & Springer, A. (2017).Efficient Analysis of Power Consumption Behaviour of Embedded Wireless IoT Systems. IEEE.

Andrew J Wixted, Peter Kinnaird, Hadi Larijani, Alan Tait, Ali Ahmadinia, Niall Strachan,(2016). Evaluation of LoRa and LoRaWan for Wireless Sensor Networks, IEEE. Antonio Cilfone, Luca Davoli, Laura Belli, Gianluigi Ferrari, (2019). Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies. Future Internet 11, 99; doi:10.3390/fi11040099, www.mdpi.com/journal/futureinternet

Daeun, Y. J. C., Yulim C. H. S., Daehan J., Sojeong, K., Sungwook, K. & Smith, A.(2018). An Experimental LoRa Performance Evaluation in Tree Farm. IEEE. DimitriosLoukatos, IoannisManolopoulos, Evangelia-Sofia Arvaniti, Kostas G. Arvanitis,&

Nick A. Sigrimis, (2018).Experimental Testbed for Monitoring the Energy Requirements of LPWAN Equipped Sensor Nodes.DimitriosLoukatos et al. / IFAC Papers OnLine 51-17 (2018) 309–313.

Divas, K. & Thomas, R. (2019).Enhancing aquaponics management with IoT-based Predictive Analytics for efficientinformation utilization. Information Processing In Agriculture, 6(2019): 375–385, journal homepage: www.elsevier.com/locate/inpa, https://doi.org/10.1016/j.inpa.2018.12.003.

Gope, P. &Tzonelih, H.(2016). BSN-Care: A Secure IoT-Based Modern HealthcareSystem Using Body Sensor Network. IEEE Sensors Journal, 16(5).

Gray, C., Ayre, R., Hinton, K. & Tucker, R. S.(2015).Power Consumption of IoT Access NetworkTechnologies. IEEE ICC- Workshop on Next Generation Green ICT.

Kais, Mekki., Eddy, Bajic., Frederic, Chaxel. & Fernand, M. (2019).A comparative study of LPWAN technologies for large-scale IoTdeployment”, ICT Express 5(2019): 1–7, https://doi.org/10.1016/j.icte.2017.12.005

Mahmoud, M.S. and Mohamad, A.A.H. (2016). A Study of Efficient Power Consumption Wireless Communication Techniques/Modules for Internet of Things (IoT) Applications. Advances in Internet of Things, 6: 19-29.http://dx.doi.org/10.4236/ait.2016.62002

Mohammed, S. T. (2018). Minimizing the Energy Consumption in Wireless Sensor Networks, Journal of Babylon University/Pure and Applied Sciences/ No.(1)/ Vol.(26): https://www.researchgate.net/publication/321986848

Sunnyeo, P., Shinhye, Y., Hyunjin, K., Ryunhwan, K., John, G. & Smith, A. (2018). Forestry Monitoring System using LoRa and Drone WIMS ’18: 8th International Conference on Web Intelligence, Mining and Semantics, June 25–27, 2018, Novi Sad, Serbia. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3227609.3227677

Oboko, U. (2018). Sound-letter Non-Correspondence Vis-a-vis Deviation in Spoken English among Secondary School Students in Nnewi Educational Zone. International Journal of Social Sciences and English Literature, 2, 20-26.

Taha, A. A., Mohamed., F. F. & Abdul, W. (2019).Performance Evaluation for LoRa Transceiver. International Journal of Computer Science and Software Engineering (IJCSSE), 8(2): 25-39.

Taoufik, B., Jean-François, D., Jean-Jacques, C., Randa, J. & Guillaume, A. (2018). Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN. Sensors, 18, 2104; doi:10.3390/s18072104, URL:www.mdpi.com/journal/sensors.

Tawfeeg, S. N., Niemah, I. &OsmanIs-Haka, M. M.(2018).Analysis and Modelling Of Power Consumption in Iot with Video Quality Communication. The International Journal of Multimedia & Its Applications (IJMA) Vol.10, No.1/2/3. DOI: 10.5121/ijma.2018.10302.

Umber, N., Ahc`ene, B. &Laurent, C. (2017).A Study of LoRa Low Power and Wide Area. 3rd International Conference on Advanced Technologies for Signal and Image Processing - ATSIP'2017,May 22-24.

Wu, F.(2018).WE-Safe: A Self-Powered Wearable IoT Sensor Network for Safety Applications Based on LoRa.Digital Object Identifier 10.1109/ACCESS.2018.2859383, IEEE Access.

Zulkifli, C. Z. (2015). Embedded RFID and Wireless Mesh Sensor Network Materializing Automated Production Line Monitoring. "Acta Physica Polonica A" , Polish Academy of Sciences Institute of Physics

Zulkifli, C. Z. and Noor, N. N. (2017). Wireless Sensor Network and Internet of Things (IoT) Solution in Agriculture. Pertanika J. Sci. Technol. 25 (1): 91 - 100 , Journal homepage: http://www.pertanika.upm.edu.my

 

This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.
Back to search
Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries, kindly contact us at pustakasys@upsi.edu.my or 016-3630263. Office hours only.