Edge Device Selection For Industrial IoT Task Offloading In Mobile Edge Computing

In the realm of Mobile Edge Computing (MEC), mobile devices have the option to transfer their tasks to edge servers for processing, thereby significantly diminishing task completion duration and reducing the energy consumption of mobile devices. This offloading mechanism optimizes resource utilisation and enhances overall efficiency by leveraging the computational capabilities of nearby edge servers. This paper addresses the issue of efficient task offloading from mobile devices to edge servers in resource-constrained Industrial Internet of Things (IIoT) heterogenous networks, focusing on minimising energy consumption and heterogenous network delay. The methodology involves checking the matching feasibility using Hall's Marriage Theorem and employing a server selection algorithm for task assignment. The results show that the proposed approach minimizes energy consumption and overall time delay compared to standard algorithms. The implications include the potential for improving various QoS factors in future research.