(Not published, 2024-07-05) Adam A . Alli; Alam Muhammad Mahbub; Yasin Magombe
Studies leading to optimization of resources and applications in the fog-cloud
of things ecosystems have gained importance. This is because these studies
form the basis upon which improved performance of Internet of Things(IoT)
infrastructure can be realized. In this study, we explore heuristic approach
that permits offloading to optimal offsite fog by developing modified dynamic
PSO(mDyPSO) mechanism. We compared our results with the traditional
simple PSO(SiPSO). Our simulation results show that mDyPSO out performs
SiPSO in terms of application latency, network usage and energy utilization. We
note that our mDyPSO offloading mechanism improves network performance up
to one third. We conclude that mDyPSO mechanism performs well in fluctuating
topology. This further proves that considering multiple computational
parameters to modify PSO yield better offloading Results.
