Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks
Zhijian Lin, Jianjie Yang, Yingyang Chen, Chen Xu, Xiaoqing Zhang
Abstract
The sharp development of maritime activities fosters maritime Internet-of-Things (M-IoT) applications. However, the computation resources of vessels are limited, which cannot adequately satisfy high-quality services in M-IoT. With this consideration, space-air-ground-sea integrated networks (SAGSINs) are introduced in this work. Besides, a maritime distributed computation offloading framework is designed. Furthermore, an energy consumption minimization problem is formulated to jointly optimize the offloading strategy and the bandwidth allocation. For solution, a double-iteration penalty-limited simulated annealing-based particle swarm optimization algorithm is proposed. Simulations are conducted to validate our analysis and corroborate the effectiveness of the proposed scheme.