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1 Title of the Article Raspberry Pi 3 Model B+ Based Endure Redicting Using Web of Things (WoT)
2 Author's name K. Manohara Rao: Assistant Professor, Information Technology, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India
3 Author's name P V Subba Reddy
4 Subject Research Technology
5 Keyword(s) 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.
6 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+.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-10 Issue-6
9 Publication Date November 2022
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Raspberry-Pi-3-Model-B+-Based-Endure-Redicting-Using-Web-of-Things-(WoT)&year=2022&vol=10&primary=QVJULTEwNTU=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2022.10.6.11   https://doi.org/10.55524/ijircst.2022.10.6.11
14 Language English
15 Page No 54-61

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