Raspberry Pi 3 Model B+ Based Endure Redicting Using Web of Things (WoT)

K. Manohara Rao; P V Subba Reddy

Abstract

The Web of Things (WoT) is a breakthrough technology that connects and controls the devices with the help of Web and make them smart and efficient. We build an WoT based Temperature and Humidity Sensing System using Raspberry Pi 3 Model B+. Endure is a vital feature in customary life, which plays a significant part in many deeds. Therefore, occasionally we need to know Endure parameter instantly. Raspberry Pi is a miniature standalone system with multiple functionalities were executed. You will interface a Digital Temperature and Humidity Sensor to receive regular updates about the Temperature and Humidity of a location remotely. The Sensor is connected to Raspberry Pi 3 Model B+, which you will program to send the readings to the Cloud Server through web, which in turn send update to Thing Speak. Thing Speak is an application platform, where the data is sent to the sever for live monitoring from anywhere in the world over web. Email notification to the user at intervals. The project deals about the Temperature and Humidity values, to read and monitor the values, using ThingSpeak system via Raspberry Pi 3 Model B+.

Keywords

Raspberry Pi 3 Model B+, Raspbian OS, Debian Bullseye, Temperature, Humidity, Cloud Server, Thing Speak, DHT11 Sensor, Endure Predicting, Networking, System Etiquette, SSH Etiquette, HTTP, PuTTY, VNC Viewer.

References

Baladhandapani, T., & Kumar, V. V. (2017). Rasbi Cloud : Raspberry Pi. International Journal of Research in System Application and Robotics, 5(4), 1–4. https://www.ijrcar.com/Volume_5_Issue_4/v5i401.pdf
Basha, S. K. M., Chigurupati, T. R. M., & Sunil, E. (2020). The Effective Methodology for WoT Based Endure Monitoring System. International Journal of Advanced Science and Technology, 29(12), 1215–1221.
Bhuvaneshwari, S., & Nisha, A. S. A. (2014). Implementation of Tcp/Ip on Embedded Webserver using Raspberry Pi in Industrial Application. International Journal of Advanced Research in System and Communication Engineering, 3(3), 5240–5244. https://ijarcce.com/wp-content/uploads/2012/03/IJARCCE4C-s-bhuvi-IMPLEMENTATION-OF-TCP-IP.pdf
Djajadi, A., & Wijanarko, M. (2016). Ambient Environmental Quality Monitoring using WoT Sensor Network. Web Working Indonesia Journal, 8(1), 41–47. https://www.researchgate.net/publication/299184974_Ambient_environmental_quality_monitoring_using_WoT_sensor_network
Girija, C., Harshalatha, H., Shires, A. G., & Pushpalatha, H. P. (2018). Web of Things (WOT) based Endure Monitoring System. International Journal of Engineering Research and Technology, 6(13). https://www.ijert.org/research/web-of-things-WoT-based-endure-monitoring-system-IJERTCONV6IS13149.pdf#:~:text=The%20system%20deals%20with%20monitoring,sensor%20data%20as%20graphical%20statistics.
Joseph, F. J. J. (2019). WoT Based Endure Monitoring System for Effective Analytics. International Journal of Engineering and Advanced Technology, 8(4), 311–315. https://doi.org/100048419/19BEIESP
Muck, P. Y., & Homam, M. J. (2018). WoT Based Endure Station Using Raspberry Pi 3. International Journal of Engineering & Technology, 7(4.30), 145–148. https://doi.org/10.14419/ijet.v7i4.30.22085
Padwal, S. C., & Kumar, M. (2016, March). Application of WSN for Environmental Monitoring in WoT Application. In S. C. Padwal & M. Kumar (Eds.), Application of WSN for Environmental Monitoring in WoT Application. International Conference on Emerging Trends in Engineering and Management Research.
Pauzi, A. F., & Hasan, M. Z. (2020). Development of WoT Based Endure Reporting System. IOP Conference Series: Materials Science and Engineering, 917(1), 012032. https://doi.org/10.1088/1757-899x/917/1/012032
Sai Ram, K. S., & Gupta, A. (2016). WoT based Data Logger System for endure monitoring using Wireless sensor networks. International Journal of Engineering Trends and Technology, 32(2), 71–75. https://doi.org/10.14445/22315381/ijett-v32p213
Satyanarayan, K. N. V., Reddy, S. R. N., Sai Teja, P. V. Y. N., & Habibuddin, M. D. B. (2016). WoT Based Smart Endure Station using Raspberry - Pi3. Journal of Chemical and Pharmaceutical Sciences. https://www.jchps.com/specialissues/2016%20SPECIAL%20ISSUE%2010/01%20JCP.pdf
Shende, V. B., Gaikwad, S. B., & Aware, V. (2020). Raspberry Pi based Endure Reporting over WoT. International Journal of Advanced Research in Electrical, Electronic and Instrumentation Engineering, 9(2), 42–51. https://doi.org/10.15662/ijareeie.2020.0902008
Shewale, S. D., & Gaiwad, S. N. (2017). An WoT Based Real- Time Endure Monitoring System using Raspberry Pi. International Journal of Advanced Research in Electrical Electronic and Instrumentation Engineering, 6(6), 4242–4249. https://www.ijareeie.com/upload/2017/june/9_An%20WoT%20Based%20Real-time%20endure%20monitoring%20system%20using%20Raspberry%20pi%20_1_.pdf
Soumitra, D., & Das, S. (2019). Live Endure Prediction using Raspberry Pi 3. International Journal of Advanced Technology in Engineering and Science, 7(6). https://ijates.com/images/short_pdf/1561528539_C610.pdf
Tamilarasi, B., & Saravanakumar, P. (2016). Smart Sensor Interface for Environmental Monitoring in WoT. International Journal of Advanced Research in Electronic and Communication Engineering, 5(2), 274–278. http://ijarece.org/wp-content/uploads/2016/02/IJARECE-VOL-5-ISSUE-2-274-278.pdf
Ugale, N., & Navale, M. (2016). Implementation of WoT for Environmental Condition Monitoring in Homes. International Journal for Engineering Application and Technology.
Vilayatkar, S. R., Wankhade, V. R., Wangekar, P. G., & Mundanr, N. S. (2019). WoT Based Endure Monitoring System using Raspberry Pi. International Research Journal of Engineering and Technology, 6(1), 1187–1190. https://www.irjet.net/archives/V6/i1/IRJET-V6I1220.pdf
Wallace, S., Richardson, M., & Donat, W. (2021). Getting Started With Raspberry Pi: Getting to Know the Inexpensive ARM-Powered Linux System (Make:) (4th ed.). Make Community, LLC.
S. Patibandla, M. Archana, and R. C. Tanguturi, “Object Tracking using Multi Adaptive Feature Extraction Technique,” International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 279–286, Jun. 2022, doi: 10.14445/22315381/ijett-v70i6p229.
G. Sadineni, A. M, and R. C. Tanguturi, “Optimized Detector Generation Procedure for Wireless Sensor Networks based Intrusion Detection System,” International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 63–72, Jun. 2022, doi: 10.14445/22315381/ijett-v70i6p208.
S. Patibandla, Dr. M. Archana, and Dr. R. C. Tanguturi, “DATA AGGREGATION BASED HYBRID DEEP LEARNING TECHNIQUE FOR IDENTIFYING THE UNCERTAINTIES AND ACCURATE OBJECT DETECTION,” Indian Journal of Computer Science and Engineering, vol. 13, no. 3, pp. 697–708, Jun. 2022, doi: 10.21817/indjcse/2022/v13i3/221303049.
Dr. S. R. Anand, Dr. R. C. Tanguturi, and S. D S, “Blockchain Based Packet Delivery Mechanism for WSN,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 2, pp. 1112–1117, Jul. 2019, doi: 10.35940/ijrte.b1627.078219.
M. V. Bharathi, R. C. Tanguturi, C. Jayakumar, and K. Selvamani, “Node capture attack in Wireless Sensor Network: A survey,” 2012 IEEE International Conference on Computational Intelligence and Computing Research, Dec. 2012, doi: 10.1109/iccic.2012.6510237.

Cites this article as

K. M. Rao, P. V. S. Reddy, "Raspberry Pi 3 Model B+ Based Endure Redicting Using Web of Things (WoT)", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-10, no.6, pp.54-61, 2022. Available from: https://doi.org/10.55524/ijircst.2022.10.6.11

Corresponding Author

K. Manohara Rao

Assistant Professor, Information Technology, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India

Download Full Paper

Download PDF

No. of Downloads: 47 | No. of Views: 953

Secure Car Parking System Using VHDL

K. Nagaraju, B. Alekhya, Namrata Vilas Sarode, N. Manogna.

November 2022 - Vol 10, Issue 6
WoT Based Contamination Monitoring System

M. Sivudu, N. Murali Krishna, G. Nagarjuna.

November 2022 - Vol 10, Issue 6
Design and Analysis of Composite Propeller Blade for Aircraft

V. Sivaprasad, Raghuram Pradhan, K. Srinivas Rao.

November 2022 - Vol 10, Issue 6

IJIRCST

Raspberry Pi 3 Model B+ Based Endure Redicting Using Web of Things (WoT)

Citations

Download Full Paper PDF

Total View 953

Total Download 47