IMPLEMENTATION OF WIRELESS SENSOR NETWORK FOR ENERGY CONSUMPTION MONITORING AND CONTROL IN SMART HOME

Ali Saadi  Abed; Mahmoud Al-Quzwini

doi:10.30572/2018/KJE/160435

Authors

Ali Saadi Abed Computer Engineering Department Al-Nahrain university, Jadriya, Baghdad, Iraq
Mahmoud Al-Quzwini Stevens Institute of Technology, New Jersey, United State of America

DOI:

https://doi.org/10.30572/2018/KJE/160435

Keywords:

Wireless Sensor Networks, ZigBee, Sustainable Energy, Power Consumption, Internet of Things (IoT)

Abstract

The increasing demands for electric power in daily life with the consuming power increasing day by day. The energy optimization that used in homes has grown importance in the era of smart technology. This will force us for a goal is to design and implement a wireless sensor network (WSN) for real-time consume energy monitoring and controlling in smart homes and save electric power that leads to sustainable energy by reduce the power consuming in electric device and to afford homeowners precise control over how much energy can be using, lower total consumption, and support in the creation of smarter, greener residential environments. the task of proposed system is to influencing the technology of advanced sensor and effective communication protocols so that electric power can be conserved throughout the deactivation of devices that are not in use. The methods used are: creating a systematic architecture for the wireless sensor network that is suitable for monitoring and controlling smart home energy consumption and indicating the accurate sensors for detecting various parameters. The system model consists of (microcontroller (UNO R3), temperature and humidity sensor (DHT22), electric device (fan) and Xbee as wireless communication module). The system saved the power throughout turn OFF Fan if the temperature of room below than 26 C° and turns ON if its exceeds or equal 26 C°. These events are monitoring and control by using internet of things (IoT). The system has two location area End Node and Base Station; the data sent from End Node to Base Station by Xbee modules in real time. The following results were obtained: the power in KWh has been calculated and it’s recorded about 1.43 kwh in one day and 42.9 kwh in 30 days (in April) and the cost reach 815.9 Iraqi dinar. Conclusions. If the model didn’t used the fan is in ON state in all days therefore the power reach 2.64 kwh in one day and 79.2 kwh in one month and the cost recorded 1504.8 Iraqi dinar. This paper emphasizes how WSNs can transform smart home energy usage monitoring and control. The usefulness of the arrangement and the encouraging results give prominence to how vital WSN technology is to improving sustainability and energy efficiency in residential settings

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References

Ahmed, z., Hasan, M., Saeed, R., Hassan R., Islam, S., Mokhtar, R., Khan, S., & Akhtaruzzaman, M. (2020). Optimizing energy consumption for cloud Internet of Things. Frontiers of Physics. https://doi.org/10.3389/fphy.2020.00358.

Anas. A., & Adnan. H. (2020). Investigation of coherent optical OFDM-RoF employing 16QAM external modulation for long-haul optical communication system. International Journal Electrical and Computer Engineering (IJECE), 10(3),2607-2616. doi: 10.11591/ijece.v10i3.pp2607-2616.

Bagdadee, A., Zhang, L., & Remus M. (2020). A brief review of the IoT-based energy management system in the smart industry. Artificial Intelligence and Evolutionary Computations in Engineering Systems, Springer, 443–459. https://doi.org/10.1007/978-981-15-0199-9_38

Bharany, S., Rehman, A., Tariq, S., Farrukh, M., Alharbi, M., Hussain, A., ISSA, G. (2023). A Review on the Need of Clustering Techniques Used for Wireless Sensor Networks. International Conference on Business Analytics for Technology and Security (ICBATS), Dubai, United Arab Emirates, pp. 1–7. doi: 10.1109/ICBATS57792.2023.10111403

Heba, A., Hassan, F., & Yousif, M. (2024). An Image Encryption Method Based On Logistical Chaotic Maps To Encrypt Communication Data. Kufa Journal of Engineering, 15(4), 55-64. doi: https://doi.org/10.30572/2018/KJE/150405

https://doi.org/10.1016/j.rser.2019.05.038,

Iman, M., & Anas, A. (2018). Design And Implementation Of Iot Based Smart Power Monitoring And Management System Using Wsn. International Journal of Embedded Systems and Applications (IJESA), 8(4). https://doi.org/10.5121/ijesa.2018.8401.

Jia, X., Shi, F., Guan, Y. , Tang, S., & Tong, M. (2020). Zigbee-based wireless gas monitoring sensor alarm system in coal mine. IOP Conf. Series: Earth and Environmental Science. doi:10.1088/1755-1315/446/2/022012

Khandaker, F., ,Ahmed, A., & Kumar, Y. (2022). Comprehensive Performance Analysis of Zigbee Communication: An Experimental Approach with XBee S2C Module. MDPI Sensors, 22(9). https://doi.org/10.3390/s22093245

Ling, k. (2020). Design and realization of distributed wireless temperature detection system based on Zigbee technology. Australian Journal of Electrical and Electronics Engineering. 17(1). https://doi.org/10.1080/1448837X.2020.1752093.

Mohammed, H., & Mohammed, R., (2018). Experimental Study for Ground Type Effect on Solar Chimney Power Plant. Kufa Journal of Engineering, 9(2), 103-113. doi: https://doi.org/10.30572/2018/KJE/090208

Mokhtar, R., Saeed R., Humyani, H., Khayyat M., & Abdel-khalek, S. (2021). Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing, Cluster Computing, 2541–2556. https://doi.org/10.1007/s10586-021-03363-8

Muhammad. S., & Hafiz, M. (2022). A Comprehensive Analysis of the Power Demand–Supply Situation, Electricity Usage Patterns, and the Recent Development of Renewable Energy in China. Sustainability MDPI, 14(6), https://doi.org/10.3390/su14063391

Olcay, K., Taparci, E., Akmandor, M., Kabakulak, B., Sarioglu, B., GokdeL, Y. (2023). Modeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications. 8th International Conference on Smart and Sustainable Technologies (SpliTech), 1–4. doi: 10.23919/SpliTech58164.2023.10193646.

Paolini, G., Guermandi, M., MasottI, D.; Shanawani, M., BenassI, F., Benini, L., Costanzo, A. (2021). RF-Powered Low-Energy Sensor Nodes for Predictive Maintenance in Electromagnetically Harsh Industrial Environments, Sensors 2021, 21(2). https://doi.org/10.3390/s21020386

Shojib, M., Firoz, A., Ibrahim, K., Md Imamul, K., Mehedi, H., Khadijatul. C.,Anjuman A., & Shahriar, M. (2025). Integrating Renewable Energy With Internet Of Things (Iot): Pathways To A Smart Green Planet. Kufa Journal of Engineering. 16(1), 55-64 .doi: https://doi.org/10.30572/2018/KJE/160121

Shuyu, D., Jianli, LIU., & Minghong Y.. (2021). Use of ZigBee Wireless Communication Technology in Industrial Automation Control’. Wireless Communications and mobile computing. https://doi.org/10.1155/2021/8317862.

Taparci, E., Olcay, K., Akmandor, M., Kabakulak, B., Sarioglu, B., Gokdel, Y. (2024). A Mathematical Programming Approach for IoT-Enabled, Energy-Efficient Heterogeneous Wireless Sensor Network Design and Implementation. MDPI Sensors 2024, 24(5). https://doi.org/10.3390/s24051457.

Victor, S., Omar, A., Juan, M., ,Juan, A., Coral M., & Mauro, S. (2024). Multipurpose Modular Wireless Sensor for Remote Monitoring and IoT Applications. MDPI Sensors. 24(4). https://doi.org/10.3390/s24041277

Walzberg, J., Dandres T., Merveille, N., Cheriet, M., & Samson, R. (2019). Assessing behavioural change with agent-based life cycle assessment: application to smart homes,.Renewable and Sustainable Energy Reviews. 111, 365–376,

Zhixiong, Z., Fanguo Z., Xiaoteng, H., Hamza, A., Qiaodong, Y., & Enli, L. (2021). Real-Time Monitoring of Environmental Parameters in a Commercial Gestating Sow House Using a ZigBee-Based Wireless Sensor Network. Applied Science MDPI, 11(3). https://doi.org/10.3390/app11030972