Computational offloading in D2D-MEC with energy harvesting
The task offloading and resource allocation problems within D2D-MEC internet of things,which incorporates social relationships and energy harvesting(EH),were analyzed aiming at the energy consumption and security in mobile edge computing(MEC).An online decision matching and resource allocation(ODMRA)algorithm was proposed based on Lyapunov optimization for D2D communication.Social relationships among users were quantified into a social trust matrix.Energy consumption,packet loss and social trustworthiness were articulated as a long-term stochastic optimization problem.The Lyapunov optimization technique was employed to decompose this into a series of sub-problems,which were then solved individually.A low-complexity strategy selection algorithm was designed by combining submodular optimization and greedy algorithms for the decision-making sub-problems between D2D pairs.Theoretical analysis and simulation results showed that the proposed ODMRA algorithm effectively optimized the offloading scheme,balanced the system service cost and queue length,and outperformed other comparative algorithms in terms of energy consumption and system service cost.
mobile edge computingdevice-to-deviceenergy harvestingLyapunov optimizationsubmodu-lar optimization
NETL
NSTL
万方数据
维普
