2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
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Abstract

Flying ad-hoc Networks (FANETs) are crucial for post-disaster information collection. However, enabling orderly and real-time data transmission in FANETs becomes challenging in scenarios where multidimensional data is required but lacks communication infrastructure. This paper addresses this issue by focusing on the wireless transmission of unmanned aerial vehicles (UAVs). Firstly, considering remote post-disaster scenario, the multi-hop clustering topology strategy is adopted to organize UAV network. To coordinate the data transmission, age of information (Aoi) is introduced as the metric evaluating the freshness of different kinds of data, and a heterogeneous packet transmission scheduling scheme is proposed. Implemented by a joint CSMA and TDMA access control, the proposed scheme facilitates to minimize the end-to-end peak age of information (PAoI) of high-priority packets and also improves the end-to-end PAoI of low-priority packets. Secondly, based on queueing theory, the theoretical foundation for transmission scheduling and corresponding Aoi performance are established. The high-reuse spectrum resource allocation achieves the minimum end-to-end mean PAoI for the whole network. Finally, simulation results demonstrate that the proposed scheme achieves an end-to-end PAoI of high-priority packets at or below 200 milliseconds, and outperforms some existing schemes.
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