CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Distributed Computing Architecture using Fog Technology for Improving Intelligent Transportation Systems in Smart City

by Zainab H. Ali, Shaimaa Hagras, Hesham A. Ali
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 6
Year of Publication: 2021
Authors: Zainab H. Ali, Shaimaa Hagras, Hesham A. Ali
10.5120/ijca2021921351

Zainab H. Ali, Shaimaa Hagras, Hesham A. Ali . Distributed Computing Architecture using Fog Technology for Improving Intelligent Transportation Systems in Smart City. International Journal of Computer Applications. 183, 6 ( Jun 2021), 42-45. DOI=10.5120/ijca2021921351

@article{ 10.5120/ijca2021921351,
author = { Zainab H. Ali, Shaimaa Hagras, Hesham A. Ali },
title = { Distributed Computing Architecture using Fog Technology for Improving Intelligent Transportation Systems in Smart City },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2021 },
volume = { 183 },
number = { 6 },
month = { Jun },
year = { 2021 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number6/31934-2021921351/ },
doi = { 10.5120/ijca2021921351 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:04.215151+05:30
%A Zainab H. Ali
%A Shaimaa Hagras
%A Hesham A. Ali
%T Distributed Computing Architecture using Fog Technology for Improving Intelligent Transportation Systems in Smart City
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 6
%P 42-45
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intelligent Transportation Systems (ITS) is one of the better Internet of Things (IoT) solutions to fill the gap between IT and automotive activities. Although smart city initiatives have a significant investment of transportation systems to reduce gas emissions and road accidents, the ITS still suffered from several challenges in terms of power consumption and network bandwidth constraint because of the rapid growth in the data dissemination over the vehicular network. The main objective of this study is to present a distributed computing architecture (DCA) based on fog technology for improving transportation services in the smart city. The experimental results show the robustness of the proposed architecture for enhancing vehicular systems in three Quality of Service (QoS) terms is the average energy consumption, packet delivery ratio, and throughput.

References
  1. Zainab H. Ali, Hesham H. Arafat, Mahmoud Badawy. “Internet of Things (IoT): definitions, challenges and recent research directions”. International Journal of Computer Applications. Vol: 128, pp 37-47, 2015.
  2. Zainab H Ali, Mahmoud M Badawy, Hesham A Ali. "A novel geographically distributed architecture based on fog technology for improving Vehicular Ad hoc Network (VANET) performance". Peer-to-Peer Networking and Applications, Springer US. pp 1-28. (2020). DOI https://doi.org/10.1007/s12083-020-00910-9.
  3. Ali, Z.H., Ali, H.A. “Towards sustainable smart IoT applications architectural elements and design: opportunities, challenges, and open directions”. J Supercomput 77, 5668–5725 (2021). https://doi.org/10.1007/s11227-020-03477-7
  4. K. Ansari, in 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pp. 794–801. (2018).
  5. Pereira, L. Ricardo, M. Lu´ıs, C. Senna, S. Sargento. "Assessing the reliability of fog computing for smart mobility applications in vanets". Future Generation Computer Systems 94, 317 (2019).
  6. X. Hou, Y. Li, M. Chen, D. Wu, D. Jin, S. Chen. "Vehicular fog computing: A viewpoint of vehicles as the infrastructures". IEEE Transactions on Vehicular Technology 65(6), 3860 (2016).
  7. Openfog reference architecture for fog computing.https://www.openfogconsortium.org/. Accessed: 2020-7-26.
  8. A.A. Alahmadi, A.Q. Lawey, T.E. El-Gorashi, J.M. Elmirghani, "in Network of the Future (NOF)". 2017 8th International Conference on th (IEEE, 2017). pp. 22-26. (2017).
  9. R.A. Osman, X.H. Peng, M. Omar. "Adaptive cooperative communications for enhancing qos in vehicular networks", Physical Communication. (2018).
  10. Y. Lai, F. Yang, J. Su, Q. Zhou, T. Wang, L. Zhang, Y. Xu. "Fog-based two-phase event monitoring and data gathering in vehicular sensor networks". Sensors 18(1), 82 (2018).
  11. Y. Li, A. Orgerie, I. Rodero, B.L. Amersho, M. Parashar, J.M. Menaud. "End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT". Future Generation Computer Systems (2017). DOI https://doi.org/10.1016/j.future.2017.
Index Terms

Computer Science
Information Sciences

Keywords

Ad-hoc Vehicular Network Fog Technology Internet of Things Intelligent Transportation Systems Quality of Service

Powered by PhDFocusTM