Mobile Network Access Points using Self Organising Drone Constellations


  • Isaack Adidas Kamanga Assistant Lecturer Department of electronics and telecommunications engineering, Dar es Salaam Institute of Technology (DIT), 2958, Dar es Salaam, Tanzania.
  • Johanson Miserigodisi Lyimo Assistant Lecturer Department of electronics and telecommunications engineering, Dar es Salaam Institute of Technology (DIT), 2958, Dar es Salaam, Tanzania.


Drone, Emergency communication, Mobile base station, Constellation, Deployment optimization


Nowadays with artificial intelligence and automation requires much remote sensing. Sensors can be fixed or mobile. Mobile sensor networks are easy to deploy in a new location however, one of the challenges is figuring out how to interconnect these mobile sensors and link them to a core network. This paper proposes a technique of setting a mobile network that miniature base stations or access points be carried by drones in an automatically structured constellation to enable network connectivity between sensors. The paper presents a swing and adjusting technique to determine the ideal deployment of mobile base stations carried by drones, one base station per drone to connect as many sensors as possible without having prior information on sensor distribution. Swing and adjusting, coverage control, collision avoidance, and self-organizing drone constellation are all part of the algorithm. The suggested approach shows promising results according to simulations.


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How to Cite

Isaack Adidas Kamanga, & Johanson Miserigodisi Lyimo. (2022). Mobile Network Access Points using Self Organising Drone Constellations. International Journal of Computer (IJC), 45(1), 81–94. Retrieved from