Heuristic Algorithms for Mobile Edge Computing Recovery System Based on Ad-Hoc Relay Nodes

Abstract

Mobile edge computing (MEC) is used to aid networking, to enhance the computing power of edge computers. In order to compensate for the limitations of cloud storage, MEC offers low latency, location-based services, and accessibility support. However, the Quality of Experience (QoE) is significantly reduced and MEC benefits are ignored when the MEC system is overloaded or malfunctions in some other way. To optimize the efficiency of unencrypted data for mobile communications, this article proposes a MEC-assisted computing and Adhoc relaying system. To find the best transmission and compression strategy for the relay node and the numerous devices, a cost function that weighs the trade-off between energy consumption and latency time was examined. The suggested approach uses the consumer machines of a nearby MEC next to an overloaded MEC as ad-hoc relay nodes in order to handle the transition disconnection between two MECs. The efficiency was illustrated by numerical tests and the probability of the suggested techniques was tested, offering high efficiency for possible future work.