Cache Optimization Strategy for Mobile Edge Computing in Maritime IoT

With the increasing storage capacity of Internet of Things (IoT) mobile devices, cache-enabled device-to-device (D2D) networks enable efficient information sharing, thereby increasing the transmission efficiency of the entire network. The efficiency is further improved by the rational deployment of caching strategies on mobile devices in combination with traditional base station transmission methods. In this paper, the mobile-aware caching strategy is divided into two problems to solve. The first problem is to solve the user's latency-minimizing cache placement problem. We transform the problem into a decision problem, propose a low-complexity algorithm that approximates the optimal solution, and justify the method using the properties of submodular functions. The second problem addresses external restriction parameters, such as cache file type, cache upper limit, and deadline. We find through simulation that there is a bottleneck in the performance improvement of the whole system as the external parameters change. A suitable formulation of these parameters can put the system in a range where the input and output are most effective, further maximizing the performance of the optimization method. We introduce the concept of marginal efficiency and use Bayesian optimization to solve the selection of these parameters. The final validation is obtained by simulation with real data.