Environment-Aware AUV Trajectory Design and Resource Management for Multi-Tier Underwater Computing
Environment-Aware AUV Trajectory Design and Resource Management for Multi-Tier Underwater Computing
复制标题
面向多层水下计算的环境感知AUV轨迹设计与资源管理
DOI：
10.1109/jsac.2022.3227103
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发表时间：
2023-02-01
影响因子：
16.4
通讯作者：
Hanzo, Lajos
中科院分区：
文献类型：
--
作者：
Hou, Xiangwang;Wang, Jingjing;Hanzo, Lajos
水下物联网(IOUT)被设想为海洋活动的重要组成部分。由于IOUT设备的广域分布和有限的发射功率，自主水下机器人(AUV)被广泛采用来采集IOUT设备感知的数据并将其转发到地面站。为了适应水下探测应用的不同要求，必须精心利用地面站和水下机器人以及水下探测设备的计算和通信以及存储资源，从而构思一个多层水下计算(MTUC)框架。此外，为了满足IOUT设备严格的能量约束，降低MTUC框架的运行成本，提出了一个环境感知AUV轨迹设计和资源管理联合问题，这是一个高维NP-Hard问题。为了应对这一挑战，我们首先将问题转化为马尔可夫决策过程(MDP)，并借助异步优势参与者-批评者(A3C)算法进行求解。仿真结果证明了该方案的优越性。
The Internet of underwater things (IoUT) is envisioned to be an essential part of maritime activities. Given the IoUT devices' wide-area distribution and constrained transmit power, autonomous underwater vehicles (AUVs) have been widely adopted for collecting and forwarding the data sensed by IoUT devices to the surface-stations. In order to accommodate the diverse requirements of IoUT applications, it is imperative to conceive a multi-tier underwater computing (MTUC) framework by carefully harnessing both the computing and the communications as well as the storage resources of both the surface-station and of the AUVs as well as of the IoUT devices. Furthermore, to meet the stringent energy constraints of the IoUT devices and to reduce the operating cost of the MTUC framework, a joint environment-aware AUV trajectory design and resource management problem is formulated, which is a high-dimensional NP-hard problem. To tackle this challenge, we first transform the problem into a Markov decision process (MDP) and solve it with the aid of the asynchronous advantage actor-critic (A3C) algorithm. Our simulation results demonstrate the superiority of our scheme.