Automatic Topology Generation in Wireless Networks using Artificial Intelligencen | Abstract Book: 1st International Conference on Recent Advances in Zoology in the Era of Climate Change, May 04-05, 2026 2023

Author(s)

Shabir Ahmad Government College of Commerce,Multan,Pakistan

Shafiq Hussain University of Sahiwal,Pakistan

Mahboob Alam Superior University Lahore,Pakistan

Arslan Ali Mansab Qurashi Quaid e Azam University Islamabad,Pakistan

Tayyab Ali Raza Barani Institute of Sciences ARID University Rawalpindi,Pakistan

Muhammad Jamil Comsats University Islamabad,Sahiwal Campus Country, Pakistan

Abstract

The wireless devices are capable to govern transmission in portable mode. The development of effective networking techniques requires additional protocol stacks of network research, which is the heart of the network model. In this work, we reviewed our previously designed algorithm TEAM for the generation of topologies automatically using artificial intelligence for present and future wireless networks. We conclude this study with the future challenges of applying AI to Wireless 5G networks. Artificial intelligence algorithm is based on a design that best routing solution involves changes in the environment, it is very likely that it is simply spending some time will be in the study. The proposed algorithm is tested in MATLAB by varying the iteration and number of nodes in a network. Our algorithm is flexible so that its cost in the sense of topology generation reduces gradually as the number of nodes in the wireless environment will increase.

Publication Details

Page(s) 26-28

DOI DOI not available

Published Journal: Abstract Book: 1st International Conference on Recent Advances in Zoology in the Era of Climate Change, May 04-05, 2026, Volume: 17, Issue: 1, Year: 2023

Keywords

Artificial Intelligence wireless networks Automatic Topology Generation

References

Wu S. -Y. .2019 .Key Technology Enablers of Innovations in the AI and. 2019 IEEE International Electron Devices Meeting (IEDM), 8993613(36) : 1.

Wang .2020 .Green logistics location-routing problem with ecopackages. ” Transportation Research Part E: Logistics and Transportation Review, 143 : 102118.

Ahmad .2017 .Wireless networks throughput enhancement using artificial intelligence. Indian Journal of Science and Technology, 26 : 1-5.

Dhungana .2020 .Peer-to-peer energy sharing in mobile networks: Applications, challenges, and open problems. Ad Hoc Networks, 97 : 102029.

Sheraz Yong,Li Depeng,Jin Depeng .2020 .Artificial intelligence for wireless caching: schemes, performance, and challenges. ” IEEE Communications Surveys & Tutorials, 23(1) : 631-661.

Rkhami .2021 .Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing. ” In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), : 1-6.

Jiang Mathias,Strufe Hans D.,Schotten Hans D. .2017 .Experimental results for artificial intelligence-based self-organized 5G networks. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), : 1-6.

Bilal AHMAD,EHSAN AHMAD,-18 IJNES .2017 .Intelligence Base Routing in Wireless Networks Using Linux Router. Uluslararası Doğa ve Mühendislik Bilimleri Dergisi, 11(3) : 7.

Sert Seyyit,Alper Seyyit .2019 .“Optimizing the performance of rule-based fuzzy routing algorithms in wireless sensor networks. ” In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), : 1-6.

Shabir Ahmad .2020 .Novel algorithm for throughput enhancement in wireless networks using multichannels “. , 20 : 203-213.

Citations

Citations are not available for this document.