IoT Based Weather Monitoring System for Tourists

Authors

DOI:

https://doi.org/10.70454/JRICST.2025.20106

Keywords:

IoT , Sensors, Tourism, Hospitality, Smart tourism

Abstract

The rapid expansion of tourism has necessitated the provision of weather information to guarantee the safety, convenience, and improved travel experiences of travelers. An innovative solution is provided by an IoT-based weather monitoring system, which provides precise, current meteorological data that is specifically designed for visitors. The IoT has greatly impacted and improved many aspects of our daily lives and the same is likely to transform our travels. There is nothing worse than going for a trip and forgetting that the weather in the new location is different. When it comes to tourists, the role of weather is that it may greatly affect their schedule and activities while increasing or decreasing their level of comfort. As a result, there is the need to develop the Internet of Things (IoT) for a tourist-driven weather checking system. Wireless capability allows passengers to send their data to an online server and other related data like accurate local weather updates are processed and relayed back. This system is unique in that it is capable of observing and mapping weather at a given location and can be accessed remotely from any other location. IoT refer to a system of systems in which all the devices are interconnected through the internet to form a complex network. The many sensors that are placed strategically collect data that is then sent to a cloud-based platform where weather forecasts can be quickly and accurately delivered.

References

1. K. S. Nikhilesh, Y. H. Raaghavendra, P. J. Madhu Soothanan and R. Resmi, "Low-cost IoT based weather monitoring system for smart community," 2020 Fourth International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2020, pp. 482-486, doi: 10.1109/ICISC47916.2020.9171156.

2. R. K. Kodali and S. Mandal, "IoT based weather station," 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kumaracoil, India, 2016, pp. 680-683, doi: 10.1109/ICCICCT.2016.7988038.

3. J. S. Carranco, F. D. Salgado, C. Sellers and H. Torres, "Comparative analysis of meteorological monitoring using an integrated low-cost environmental unit based on the Internet of Things (IoT) with an Automatic Meteorological Station (AWS)," 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), Salinas, Ecuador, 2017, pp. 1-6, doi: 10.1109/ETCM.2017.8247466. S.

4. Abraham, J. Beard and R. Manijacob, "Remote environmental monitoring using Internet of Things (IoT)," 2017 IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, USA, 2017, pp. 1-6, doi: 10.1109/GHTC.2017.8239335

5. P. Kapoor and F. A. Barbhuiya, "Cloud Based Weather Station using IoT Devices," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 2357-2362, doi: 10.1109/TENCON.2019.8929528.

6. M. Kusriyanto and A. A. Putra, "Weather Station Design Using IoT Platform Based on Arduino Mega," 2018 International Symposium on Electronics and Smart Devices (ISESD), Bandung, Indonesia, 2018, pp. 1-4, doi: 10.1109/ISESD.2018.8605456.

7. Brou, Paul and Janssen, Marijn, "Effects of The Internet of Things (IoT): A Systematic Review of The Benefits and Risks" (2015). ICEB 2015 Proceedings (Hong Kong, SAR China). 48. https://aisel.aisnet.org/iceb2015/48

8. A. Piras, S. Mirri, M. Sole, D. Giusto, G. Pau and R. Girau, "Implementation of a sea monitoring system based on social internet of things," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2022, pp. 687-690, doi: 10.1109/CCNC49033.2022.9700641.

9. C. Li, L. Chen, S. Wu, Y. Mo and L. Chen, "Application Research of Naive Bayes Algorithm Based on DIKW in Weather Website," 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, 2021, pp. 2253-2257, doi: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00337.

10. A. Palazov, A. Stefanov, V. Marinova and V. Slabakova, "Bulgarian National Operational Marine Observing System," 2012 Oceans - Yeosu, Yeosu, Korea (South), 2012, pp. 1-9, doi: 10.1109/OCEANS-Yeosu.2012.6263526.

11. A. Piras, S. Mirri, M. Sole, D. Giusto, G. Pau and R. Girau, "Implementation of a sea monitoring system based on social internet of things," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2022, pp. 687-690, doi: 10.1109/CCNC49033.2022.9700641.

12. C. Li, L. Chen, S. Wu, Y. Mo and L. Chen, "Application Research of Naive Bayes Algorithm Based on DIKW in Weather Website," 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, 2021, pp. 2253-2257, doi: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00337.

13. A. Seravalli et al., "Towards Smart Cities for Tourism: the POLIS-EYE Project," 2022 IEEE International Smart Cities Conference (ISC2), Pafos, Cyprus, 2022, pp. 1-7, doi: 10.1109/ISC255366.2022.9922095.

14. O. Gcaba and N. Dlodlo, "The internet of things for South African tourism," 2016 IST-Africa Week Conference, Durban, South Africa, 2016, pp. 1-8, doi: 10.1109/ISTAFRICA.2016.7530573.

15. Albuali, A.; Srinivasagan, R.; Aljughaiman, A.; Alderazi, F. Scalable Lightweight IoT-Based Smart Weather Measurement System. Sensors 2023, 23, 5569. https://doi.org/10.3390/s23125569

16. Ioannou, K.; Karampatzakis, D.; Amanatidis, P.; Aggelopoulos, V.; Karmiris, I. Low-Cost Automatic Weather Stations in the Internet of Things. Information 2021, 12, 146. https://doi.org/10.3390/info12040146

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Published

2025-01-30

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Article

How to Cite

Srivastava, S. (2025). IoT Based Weather Monitoring System for Tourists. Journal of Recent Innovations in Computer Science and Technology, 2(1), 1-7. https://doi.org/10.70454/JRICST.2025.20106