Scalable Incident Reporting Framework: A Sensor and IoT Research

Authors

  • Sidi Mohamed Ahmed Ghaly Department of Electrical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia | Ecole Normale Suprieure, Nouakchott, Mauritania
  • Mohammad Ali Kadampur Department of Electrical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia
Volume: 13 | Issue: 3 | Pages: 10748-10753 | June 2023 | https://doi.org/10.48084/etasr.5820

Abstract

The Internet of Things (IoT) is one of the most rapidly emerging technologies. It is observed that while many devices/machines get connected in an application, it is a challenge for the IoT application designer to keep the application scalable. Scalability is the ability of a device/application to adapt to the changes in the environment and meet the changing needs in the future. The paper presents a layered IoT architecture and discusses issues related to the scalability of each layer. The best open-source technologies are explored. A novel system architecture of a scalable IoT framework is conceptualized in this paper. An application covering vehicle accident reporting is designed with the proposed framework. The application is tested in real-time using the standalone hardware and its ability to report the incidents is confirmed. The scalability metrics of the proposed framework are evaluated and the results are reported.

Keywords:

IoT, scalability, sensors, computer networks, Message Queue Telemetry Transport (MQTT)

Downloads

Download data is not yet available.

References

A. Javed, A. Malhi, T. Kinnunen, and K. Främling, "Scalable IoT Platform for Heterogeneous Devices in Smart Environments," IEEE Access, vol. 8, pp. 211973–211985, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.3039368

H. Guo, J. Ren, D. Zhang, Y. Zhang, and J. Hu, "A scalable and manageable IoT architecture based on transparent computing," Journal of Parallel and Distributed Computing, vol. 118, pp. 5–13, Aug. 2018. DOI: https://doi.org/10.1016/j.jpdc.2017.07.003

S. Kubler, J. Robert, A. Hefnawy, K. Främling, C. Cherifi, and A. Bouras, "Open IoT Ecosystem for Sporting Event Management," IEEE Access, vol. 5, pp. 7064–7079, 2017. DOI: https://doi.org/10.1109/ACCESS.2017.2692247

G. N. Cristina, G. V. Gheorghita, and U. Ioan, "Gradual Development of an IoT Architecture for Real-World Things," in 2015 IEEE European Modelling Symposium (EMS), Madrid, Spain, Jul. 2015, pp. 344–349. DOI: https://doi.org/10.1109/EMS.2015.57

M. Tabaa, B. Chouri, S. Saadaoui, and K. Alami, "Industrial Communication based on Modbus and Node-RED," Procedia Computer Science, vol. 130, pp. 583–588, Jan. 2018. DOI: https://doi.org/10.1016/j.procs.2018.04.107

P. Waher, Learning Internet of Things. Packt Publishing, 2015.

K. Ferencz and J. Domokos, "IoT Sensor Data Acquisition and Storage System Using Raspberry Pi and Apache Cassandra," in 2018 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE), Budapest, Hungary, Aug. 2018, pp. 000143–000146. DOI: https://doi.org/10.1109/CANDO-EPE.2018.8601139

G. C. Hillar, Internet of Things with Python. Packt Publishing, 2016.

A. V. Dastjerdi, H. Gupta, R. N. Calheiros, S. K. Ghosh, and R. Buyya, "Chapter 4 - Fog Computing: principles, architectures, and applications," in Internet of Things: Principles and Paradigms, R. Buyya and A. V. Dastjerdi, Eds. Morgan Kaufmann, 2016. DOI: https://doi.org/10.1016/B978-0-12-805395-9.00004-6

J. Jermyn, R. P. Jover, I. Murynets, M. Istomin, and S. Stolfo, "Scalability of Machine to Machine systems and the Internet of Things on LTE mobile networks," in 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, Jun. 2015, pp. 1–9. DOI: https://doi.org/10.1109/WoWMoM.2015.7158142

M. Gheisari, G. Wang, and S. Chen, "An Edge Computing-enhanced Internet of Things Framework for Privacy-preserving in Smart City," Computers & Electrical Engineering, vol. 81, Jan. 2020, Art. no. 106504. DOI: https://doi.org/10.1016/j.compeleceng.2019.106504

W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, "Edge Computing: Vision and Challenges," IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, Jul. 2016. DOI: https://doi.org/10.1109/JIOT.2016.2579198

D. Minoli, K. Sohraby, and B. Occhiogrosso, "IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems," IEEE Internet of Things Journal, vol. 4, no. 1, pp. 269–283, Oct. 2017. DOI: https://doi.org/10.1109/JIOT.2017.2647881

Z. Alwan and H. Alshaibani, "Car Accident Detection and Notification System Using Smartphone," International Journal of Computer Science and Mobile Computing, vol. 4, no. 4, pp. 620–635, Apr. 2015.

M. H. Alkinani, A. A. Almazroi, N. Z. Jhanjhi, and N. A. Khan, "5G and IoT Based Reporting and Accident Detection (RAD) System to Deliver First Aid Box Using Unmanned Aerial Vehicle," Sensors, vol. 21, no. 20, Jan. 2021, Art. no. 6905. DOI: https://doi.org/10.3390/s21206905

R. A. Azdy and F. Darnis, "Use of Haversine Formula in Finding Distance Between Temporary Shelter and Waste End Processing Sites," Journal of Physics: Conference Series, vol. 1500, no. 1, Dec. 2020, Art. no. 012104. DOI: https://doi.org/10.1088/1742-6596/1500/1/012104

M. Basyir, M. Nasir, S. Suryati, and W. Mellyssa, "Determination of Nearest Emergency Service Office using Haversine Formula Based on Android Platform," EMITTER International Journal of Engineering Technology, vol. 5, no. 2, pp. 270–278, 2017. DOI: https://doi.org/10.24003/emitter.v5i2.220

"OASIS: MQTT Version 5.0," Mar. 07, 2019. https://docs.oasis-open.org/mqtt/mqtt/v5.0/mqtt-v5.0.html.

F. Alorifi, S. M. A. Ghaly, M. Y. Shalaby, M. A. Ali, and M. O. Khan, "Analysis and Detection of a Target Gas System Based on TDLAS & LabVIEW," Engineering, Technology & Applied Science Research, vol. 9, no. 3, pp. 4196–4199, Jun. 2019. DOI: https://doi.org/10.48084/etasr.2736

"assetto-corsa-competizione," GitHub. https://github.com/topics/assetto-corsa-competizione.

K. Alsnaie, S. M. A. Ghaly, and M. A. Ali, "Study and Design of a Multi-range Programmable Sensor for Temperature Measurement," Engineering, Technology & Applied Science Research, vol. 12, no. 6, pp. 9601–9606, Dec. 2022. DOI: https://doi.org/10.48084/etasr.5284

S. M. A. Ghaly, "LabVIEW Based Implementation of Resistive Temperature Detector Linearization Techniques," Engineering, Technology & Applied Science Research, vol. 9, no. 4, pp. 4530–4533, Aug. 2019. DOI: https://doi.org/10.48084/etasr.2894

Downloads

How to Cite

[1]
S. M. A. Ghaly and M. A. Kadampur, “Scalable Incident Reporting Framework: A Sensor and IoT Research”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 3, pp. 10748–10753, Jun. 2023.

Metrics

Abstract Views: 578
PDF Downloads: 338

Metrics Information

Most read articles by the same author(s)