NOMA-based secure computation offloading in marine Internet of things
Year: 2024
Type: article
Abstract: Regarding the presence of multiple malicious eavesdropping device (ED) in the marine Internet of things (M-IoT), to ensure the secure computation offloading of unmanned surface vehicle (USV) to a high altitude platform (HAP), a non-orthogonal multiple access (NOMA) assisted transmission policy was employed, where a set of idle USV acted as jamming USV (JU) that interfered with the eavesdropping of the ED and formed NOMA clusters with the transmitting USV (TU). Considering the requirements such as energy constraints and security transmission, the offloading ratio, transmitting power, computation resource allocation and NOMA cluster selection were jointly optimized with the objective of minimizing the maximum task processing latency. To solve the proposed mixed-integer non-convex optimization problem, an algorithm combining deep deterministic policy gradient (DDPG) and cross-entropy was proposed. Simulation results show that the proposed algorithm can effectively reduce maximum task processing latency and ensure the security of the system.
Authors: JIANG Wei, YUAN Xiao, WANG Qian, QIAN Liping
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6993003280
FWCI:
Cites:
Cited by:
Related to: