Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms

Azem, Sharif; Tahir, Anam; Koeppl, Heinz

doi:10.1109/ccnc49033.2022.9700712

Cited by 2 publications

(1 citation statement)

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“…In [23], authors emphasized the necessity of dynamic behavior in the context of adaptive communication of quadcopter swarms. Without a dynamic aspect, time slots that are initially allocated will be the same during the task.…”

Section: Related Workmentioning

confidence: 99%

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

Aydin,

Akcasoy,

Cakir

et al. 2024

IEEE Access

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Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application domain of aerial swarms, and the need for synchronized communication among network entities has become crucial. However, existing ad hoc approaches struggle to maintain multi-hop connections in contested environments characterized by frequent topology changes and intermittent links. To overcome these limitations, we introduced STDMA protocol, which enables the self-configuration of drones without reliance on a ground controller. In continuation of the earlier work, we conduct extensive experiments to evaluate the performance of the proposed protocol.Comparative simulation experiments cover various scenarios with different network sizes, frame lengths, and traffic loads. The STDMA protocol achieves optimal access delay in highly contested environments and reduces delay by approximately 19.181%. Moreover, it exhibits improved channel utilization compared to the E-ASAP/SM protocol, with a 4.5 times increase.INDEX TERMS ad hoc networks, autonomous control, decentralized control, distributed systems, reliable communication, self-organizing network management, swarm intelligence, UAV swarm I. INTRODUCTION

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Section: Related Workmentioning

confidence: 99%