Survey of Multiple Destination Route Discovery Protocols

Route discovery protocols for multiple destination is one of the most interesting research topics since it is applied for real-world applications and needed in smart cities services such as: delivery services. The inclusion of artificial intelligence can improve the performance of multiple destination route discovery protocols. In this paper, we studied and analyzed multiple destination route discovery protocols based on different search strategies especially artificial intelligent methods. The survey compares between multiple destination route discovery protocols relate to its applications and implementation tools.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2024-08-31
DOI
https://doi.org/10.22399/ijcesen.385
Citations
11
Primary Topic
Mobile Ad Hoc Networks
Type
article
Field-Weighted Citation Impact
3.84
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article

Survey of Multiple Destination Route Discovery Protocols

Samar Jaafar Ismael, Israa Tahseen Ali, Reem Jafar Ismail, Wassan Adnan Hashim et al.
11 citations
International Journal of Computational and Experimental Science and Engineering
Mobile Ad Hoc Networks
3.84
article

Survey of Multiple Destination Route Discovery Protocols

Samar Jaafar Ismael, Israa Tahseen Ali, Reem Jafar Ismail, Wassan Adnan Hashim, Sara Raouf Muhamad Amin
article en
11 citations

Abstract

Route discovery protocols for multiple destination is one of the most interesting research topics since it is applied for real-world applications and needed in smart cities services such as: delivery services. The inclusion of artificial intelligence can improve the performance of multiple destination route discovery protocols. In this paper, we studied and analyzed multiple destination route discovery protocols based on different search strategies especially artificial intelligent methods. The survey compares between multiple destination route discovery protocols relate to its applications and implementation tools.

International Journal of Computational and Experimental Science and EngineeringVol. 10(3)
Cihan University-Erbil (IQ)
Openalex Percentile: Top 6%
Mobile Ad Hoc Networks
3.84
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