Heterogeneous Internet of Things (IoT) networks enabled by Unmanned Aerial Vehicles (UAVs) operate in various protocols and spectrum bands (e.g., WiFi, LoRa, Zigbee) to collect and offload data generated from heterogeneous sensors. However, achieving timely and secure communications is challenging due to uncertain data generation, mobility, and location of wardens. This paper presents a collaborative framework that exploits cross-technology communications to achieve covertness constraints. The aim is to minimize the age of covert information (AoCI) and energy consumption by jointly optimizing data scheduling, power allocation, and offloading decisions by collaborating with UAVs. A multi-agent actor-critic algorithm that incorporates federated learning and attention mechanisms (cluster-MAAC-attention) is presented to solve the previous problem. Our simulation results show that our algorithm reduces the worst AoCI by 4 times, and reduces the penalty by 20 times compared to existing schemes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    UAV-Enabled Covert Cross-Technology Communication in Heterogeneous IoT Networks


    Contributors:


    Publication date :

    2024-10-07


    Size :

    1953036 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Covert Transmission in Power Line Communication Networks

    Chen, Jianqiang / Chen, Rui / Liu, Xiaojun et al. | IEEE | 2024


    Cross-medium covert communication buoy for deep sea mooring platform

    FANG WEI / ZHANG JIE / YUAN RI et al. | European Patent Office | 2023

    Free access

    UAV-Enabled Cooperative Jamming for Covert Communications based on Geometric Method

    Rao, Hangmei / Xiao, Sa / Yan, Shihao et al. | IEEE | 2022



    Covert Wireless Communication on Beidou Short Message Communication

    Wang, Maochun / Yang, Weiwei / Xu, Lu et al. | TIBKAT | 2022