Underwater acoustic sensor networks (UASN) serve as an effective method for marine information monitoring, significantly dependent on the quality of service (QoS) in data transmission of underwater sensors. For this purpose, relay nodes are required for cooperative communication. Autonomous underwater vehicles (AUV s), used as mobile relays, offer lower costs and greater flexibility compared to fixed relay nodes. However, the application of AUV s faces challenges including limited communication resources, constrained service time, and energy limitations. Existing research has addressed several of these challenges, but a holistic approach encompassing all these facets remains unexplored. Moreover, most of the constraints and optimization problems involved in these challenges are non-convex, posing significant difficulties in solution. Therefore, this paper proposes an improved particle swarm optimization algorithm with multi-objective constraints, aimed at maximizing QoS by balancing the travel and service states of AUV s, addressing the optimal placement of relay AUV s. Simulation results show that the proposed algorithm achieves higher system throughput and faster convergence speed compared to existing relay deployment algorithms, advancing the efficacy of UASN in complex marine environments.


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    Title :

    QoS-Optimized Deployment of Mobile Relay AUVs in Underwater Acoustic Sensor Networks


    Contributors:
    Ye, Fang (author) / Xu, Hengyu (author) / Li, Yibing (author) / Jiang, Tao (author) / Zhou, Zitao (author)


    Publication date :

    2024-06-24


    Size :

    372848 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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