Abstract
In this paper, to maximize the lifetime of drone swarms by resolving the battery exhaustion problems caused by undesired retransmissions, we propose a residual energy-aware online random access scheme (RE-ORA) by adjusting the packet transmission opportunities based on the residual energy of a drone in S-ALOHA-based swarming drone networks. We aim to improve the battery lifetime of the drone with the smallest energy among the drone swarms. In addition, we analyze the success, collision, and idle probabilities of the swarming drone networks. In particular, we analyze the intradrone swarm collision and interdrone swarm collision probabilities. Through intensive simulations, we show that the proposed RE-ORA scheme outperforms the conventional algorithm with respect to the average lifetime of drone swarms and successful packet transmission probability according to the number of drones and the residual energy.
Highlights
Future cellular networks aim to support explosively increasing mobile data traffic and to consider three-dimensional (3D) network coverage [1]–[4]
This paper aims to improve the lifetime of drone swarms by controlling the packet transmission probability online when considering the amount of the residual energy of the drones
In the proposed residual energy-aware online random access scheme (RE-ORA) scheme, each drone determines its packet transmission probability by using a sigmoid function to generate the difference between drones with high and low residual energy
Summary
Future cellular networks aim to support explosively increasing mobile data traffic and to consider three-dimensional (3D) network coverage [1]–[4]. 3D communication networks considering drones have been widely regarded as an inevitable solution for beyond 5G (B5G) and 6G cellular networks [5]–[8]. The utilization of unmanned drones has been gradually expanded in our daily lives, such as in environmental monitoring, disaster relief support, logistic delivery, and agricultural pesticide spraying. When a drone swarm performs its mission, all of the drones that comprise the drone swarm work together for one mission, but the tasks of each drone may be somewhat different. A ‘mission’ is a goal that the drone swarm must achieve, and the work each drone must do to achieve
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