Trade-off Between Latency and Energy for Offloading Tasks in Maritime Internet of Things

With the advancement of maritime activities, the number of Maritime Internet-of-Things (M-IoT) devices is growing exponentially. However, due to the limited computational capacity of the M-IoT devices and the complex maritime network environment, the edge and central cloud computing scenarios can be adopted. Existing works have neither considered interference between the communication of ships nor the trade-off scenario between latency and energy consumption. In this paper, we have provided an optimization framework, namely VESBELT, which enable a trade-off between the minimization of service latency and energy consumption for offloading tasks on the edge or central cloud servers. Our experimental results depict that the developed system VESBELT is superior to contemporary works in terms of service latency and energy usage.