Moving intelligence of mobile edge computing to maritime network
Godwin Kobby Gakpo, Xin Su, Chang Choi · 2019
We present moving intelligence of Mobile Edge Computing (MEC) closer to the vessel terminal devices in the maritime network. This technology proves to be a better approach for managing data resources generated by the internet of things (IoT) devices in a marine vessel. Regarding the problem of high transmission delay and low bandwidth in the conventional cloud computing approach, the MEC is a new revelation that extends cloud computing services such as data computation and resource storage capabilities to the edge of the maritime network. Lately, the emergence of heterogeneous IoT devices has increased the data generated from several applications such as real-time and other advanced monitoring applications. This could be processed and analyzed at the edge network with lower delay. In this paper, we propose offloading data resources for computation to the MEC network in order to minimize transmission delay and the response time considering the energy consumption at the vessel terminal. Our simulation results show offloading computation to the MEC network delivers better performance compared to the conventional cloud computing services.