Delay-aware Task Offloading and Bandwidth Allocation Using Particle Swarm Optimization in Mobile Edge Computing

Mobile Edge Computing (MEC) is a viable solution for applications that require minimal delay and have high computational demands on mobile devices (MD). This study used the Particle Swarm Optimization (PSO) method to find the best offloading ratio, bandwidth allocation, and transmission power to cut down on the overall execution delay in MEC system. We here chose the PSO considering its rapid and effective ability to identify solutions that are close to the optimal solution. In different situations, the simulation results showed that fitness values and overall execution delay decreased significantly. This showed that PSO could keep performing consistently and efficiently in different settings. The findings indicated that PSO is an effective optimization strategy for computational offloading in MEC systems, enhancing performance by minimizing delay.