Improve Energy Consumption and Packet Scheduling for Mobile Edge Computing

Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.