Context-Aware Routing

  • Sanaa H. Abdulkarim Abushofa Computer Department, Education College, University of Tripoli, Gaser Ben Gashir, Libya.
  • Zahra Abdalla Elashaal Software Engineering, Faculty of Information Technology, University of Tripoli, Tripoli, Libya.
DOI https://doi.org/10.58916/jhas.v9i2.262
Published: 2024-06-09
تحميل PDF (Arabic)
73
14

Abstract

The growing demand for real-time multimedia applications like video and audio streaming over the internet necessitates a stronger emphasis on Quality of Service (QoS). Conventional routing algorithms, such as shortest path first, often prioritize the shortest route without considering network congestion or traffic types. This can lead to delays for delay-sensitive applications like video calls. Context-aware routing emerges as a solution, dynamically adapting routing decisions based on packet type and network conditions. By considering QoS factors, context-aware routing facilitates efficient packet delivery, prioritizing delay-sensitive packets for improved user experience and network productivity. Moreover, the packets were transferred efficiently, and more productivity was achieved by giving precedence to delay sensitive packets.

Keywords: Context-aware Routing, Genetic Algorithm, shortest path, delay, Quality of Service (QoS), packets.

How to Cite

Sanaa H. Abdulkarim Abushofa, & Zahra Abdalla Elashaal. (2024). Context-Aware Routing . Bani Waleed University Journal of Humanities and Applied Sciences, 9(2), 284-299. https://doi.org/10.58916/jhas.v9i2.262
Crossref
Scopus
Google Scholar
Europe PMC

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

1.
ter Mors, A., Zutt, J., & Witteveen, C. (2023, September). Context-Aware Logistic Routing and Scheduling. In ICAPS (pp. 328-335).
2.
ter Mors, A., van Belle, J., & Witteveen, C. (2023, May). Context-aware multi-stage routing. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 1 (pp. 49-56).
3.
Ahn, C. W., & Ramakrishna, R. S. (2002). A genetic algorithm for shortest path routing problem and the sizing of populations. IEEE transactions on evolutionary computation, 6(6), 566-579.
4.
Masillamani, M. R., Suriyakumar, A. V., Ponnurangam, R., & Uma, G. V. (2000). Genetic algorithm for distance vector routing technique. AIML, 6, 160-163.
5.
Lammle, T. (2016). CCENT ICND1 Study Guide: Exam 100-105. John Wiley & Sons.
6.
Mansfield, K. C., & Antonakos, J. L. (2009). Computer networking for LANS to WANS: hardware, software and security. Delmar Learning.
7.
Valarmathi, A., & Chandrasekaran, R. M. (2010). Congestion aware and adaptive dynamic source routing algorithm with load-balancing in MANETs. International Journal of Computer Applications, 8(5), 1-4.
8.
ter Mors, A. (2007). Robustness in Context-Aware Route Planning.
9.
GNH Irani, H Izadkhah - Computer Standards & Interfaces, 2024‏ - Elsevier‏
10.
A Das, A Leaf, CA Varela… - … on cloud computing …, 2020‏ - ieeexplore.ieee.org‏
11.
https://rmkcet.ac.in/docs/regulation/ADS%20R2022.pdf
12.
XL Li, KQ Chen, HJ Huang, S Yang… - Propellants …, 2024‏ - Wiley Online Library‏
13.
GKL Rao, N Mokhtar - … of Research on Instructional Technologies in …, 2023‏ - igi-global.com‏
14.
OB Yahia, Z Garroussi, O Bélanger, B Sansò… - arXiv preprint arXiv …, 2023‏ - arxiv.org‏
15.
MM Karbassian, H Ghafouri-Shiraz - 2023‏ - Wiley Online Library‏

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

1-10 of 58

You may also start an advanced similarity search for this article.