Intelligent Allocation Strategy of Mobile Users for Multi-Access Edge Computing Resources
Nazeer Unnisa, Madhavi Tatineni · 2021
In recent years, Mobile Edge Computing (MEC) gains more attention in research fields with some standard key interfaces for MEC to construct different applications required with less latency, response time and formulating the hyper-scale data centers through micro data centers at the edge of networks. While considering the mobile devices, huge power is consumed to execute the progressive computing applications. MEC enables the easy access of mobile users using the cloud functionalities at the edge of networks. This paper plans to develop the optimal strategy for associating the mobile users to MEC hosts and access points by optimally allocating the computational and radio resources to every user. Here, a well-performing optimization technique called Grey Wolf Optimization (GWO) is used for solving the objective by minimizing the overall user transmit power in terms of latency constraints with both computation and communication times. Finally, the comparative analysis over other intelligent methods proves the efficiency of the proposed model.