A task offloading optimization strategy in MEC-based smart cities

The Mobile Edge Computing (MEC) technology can greatly facilitate the development of smart cities, as a result, MEC-based smart cities have attracted much attention from some global research communities. In such filed, there is always a non-negligible challenge, that is, efficient task offloading from mobile devices to edge servers. To this end, this letter proposes a task offloading optimization strategy to make a tradeoff between energy consumption and response time, including the modeling of two sub-objectives and a heuristic bi-objective optimization algorithm. The proposed strategy is simulated and the experimental results demonstrate that it is more efficient compared to the the-state-of-the-art strategy.