AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication

Wenchao Liu1; Zhenzhen Jin2; Xuhui Zhang1; Weilin Zang1; Shuqiang Wang1; Yanyan Shen1

10.1109/ICCCWorkshops57813.2023.10233771

2023

2474-9133

979-8-3503-4541-4

2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

1-6

10-12 Aug. 2023

Dalian, China

The rapid development of Internet of things (IoTs) communications and integrated sensing, computation, and communication (ISCC) technology has recently received widespread attention for mobile edge computing (MEC) networks. This paper considers a marine MEC system designed for efficient data sensing where an UAV is dispatched for data sensing from marine surface IoT devices, and then offloading to the remote marine base station for computation. The age of information (AoI) is introduced as the metric for evaluating the data freshness that is sensed by the marine IoT targets. In this marine MEC systems, we aim to minimize the average AoI of all marine IoT targets by jointly optimizing the trajectory of the UAV, the total number of time slots, the sensing scheduling policy of the data sensing. Since the optimization problem is difficult to solve by conventional schemes, we design a learning-based scheme that is leveraged by deep reinforcement learning algorithm to optimize the AoI minimization problem. The numerical results indicate that the proposed learning-based scheme is effective and robust compared with two benchmark schemes.

Age of information marine mobile edge computing UAV communications ISCC

其他

EI

20234014814627

Computation offloading ; Deep learning ; Internet of things ; Learning algorithms ; Mobile edge computing ; Reinforcement learning

Ergonomics and Human Factors Engineering:461.4 ; Aircraft, General:652.1 ; Data Communication, Equipment and Techniques:722.3 ; Digital Computers and Systems:722.4 ; Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4 ; Machine Learning:723.4.2

IEEE

1.Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China
2.Southern University of Science and Technology, Shenzhen, China

Wenchao Liu,Zhenzhen Jin,Xuhui Zhang,et al. AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication[C],2023:1-6.