Energy- and Reliability-Aware Computation Offloading with Security Constraints in MEC-Enabled Smart Cities

Smart city is a fast-growing system that provides a large number of collaborative services enabled by emerging technologies such as wireless sensor networks and radio frequency identification. Generally, massive heterogeneous smart devices in smart cities are served by limited resources, resulting in low processing efficiency and even insufficient reliability of applications. In this regard, people invented mobile edge computing (MEC) to provide smart devices with more processing capacity. Unfortunately, the computing resources of edge servers in MEC are limited. Consequently, it is of great importance to improve the resource management efficiency of the MEC system. In view of this, we construct a four-layer edge-enabled smart cities model in this paper. Technically, we propose an energy- and reliability-aware multi-objective optimization method which can jointly optimize the energy consumption of smart devices, the resource utilization of edge servers and improve the system's reliability while meeting the privacy constraints. Experimental results prove that our proposed method has good benefits to meet the needs of computation offloading in smart cities.