Some artificial intelligence driven algorithms for mobile edge computing in smart city

Abstract

Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced a neuro-evolution approach for supporting smart infrastructures. Solutions related to using Tweeter’s blogs by smart city apps are presented, too. Finally, the design principles of differential evolution for smart city are analyzed.