Energy Aware Drone Enabled Base Stations Deployment in Flying Adhoc Networks

Authors

  • Saqib Majeed UIIT, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan Author
  • Kashif Sattar UIIT, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan Author
  • Kashif Sattar UIIT, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan Author
  • Saleem Iqbal Department of Computer Science, Allama Iqbal Open University Islamabad, Pakistan Author
  • Ghulam Mustafa Department of Computer Science, Allama Iqbal Open University Islamabad, Pakistan Author
  • Ali Raza Bhangwar Department of Software Engineering, QUEST, Nawabshah, Pakistan Author

DOI:

https://doi.org/10.52584/QRJ.2002.06

Keywords:

Energy Efficiency, Drone, UE, Selfmotivated Deployment, Communicational Energy

Abstract

The demand for Wireless Networks has increased rapidly for downloading and uploading all types of data, which is due to the inefficiency and high cost of infrastructure based cellular Networks. Unmanned Aerial Vehicle (UAVs) is the reliable solution for improving efficiency, latency redundancy, business, and troubleshooting problems on a high scale. Although, the deployment of UAVs to meet user demand in any environment or region is quite thought-provoking. This deployment not merely provides the only the coverage area, but also provides the capacity balancing and accommodation of extremely populated areas. In this research, the suggested solutions show significant achievements in terms of energy proficiency related to the fixed and dynamic drone base station system. We propose FSO (free space optical) communication system and evaluate three feasible algorithms for separate dynamic repositioning of drone base stations in terms of communicational energy. In MATLAB, the simulation result shows 20 percent of communicational energy consumption improvement can be obtained deprived of adversely affecting any other factor of the drone.

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Published

2022-12-28