KGEES: An Energy Saving System With Location Privacy Preservation in Multi-Access Edge Computing

This research paper presents KGEES, a system designed to reduce energy consumption in multi-access edge computing (MEC, a technology that brings servers closer to users for faster processing) while protecting user privacy. The system uses k-anonymity geo-obfuscation (a technique that hides exact user locations by grouping them with others) to keep user locations private, while using a greedy algorithm (an approach that makes quick decisions based on immediate benefits) to decide how to allocate computing resources efficiently.