QoE-aware mobile computation offloading in mobile edge computing

Due to the rapid development of smart phone utilization, the use of fast response with delay sensitive applications leads to high traffic demands. These issues are not yet fulfill by current researchers. When there is a massive crowd of users gathering in hot spot areas such as, railway stations, corporate centers, and malls requires service accessing social networks, then there cause uncertain traffic with congestion and network delay. In this article, an efficient offloading mechanism (EOM) is proposed to transfer the user's intensive computations to picocells, where each picocell (PE) isintegratedwith the functionalities of edge. Moreover, a novel distributed multihop mesh middle layer (DMMM) framework is proposed for seamless communication, where the self-healing network provides high resilience, immediate response, and multiuser content sharing and saves battery power. Generally, a picocell is a distributed antenna system that is an alternative to the repeater utilized to extend wireless services to 100 users. An adaptive ant optimization (AAO) algorithm is developed for backhaul routing conflicts. Simulation outcomes of edge cloud sim prove that the offloading tiny devices incorporated to considerable additional computational capacities can fulfill all the demands within 15 ms delay from each network.