LACE: Low-Cost Access Control Based on Edge Computing for Smart Buildings

Abstract

With the explosive growth in personal mobile devices, offloading computation through nearby mobile user devices as opportunistic edge servers to support complex applications with limited computation resources is receiving increasing attention. In this paper, we first establish the optimal opportunistic offloading problem using the statistical properties of user movement speed and CPU load of mobile edge servers. We then determine the amount of computation to be offloaded to individual mobile edge servers. Moreover, we design an adaptive mechanism based on PID to realize the function of continuing large data packets from breakpoints, mainly used to adjust the size of data packets automatically. It efficiently avoids data loss and reduces the cost of resources through the latency deviation as the variable of the gain function to estimate the packet size. Finally, an access control system based on edge computing is designed and developed to make full use of the mobile phones of nearby users. It can address the shortcomings of traditional schemes with high latency to some extent, and it makes latency lower and data reliability higher.