NESTLE: Incentive mechanism specialized for computation offloading in local edge community

Abstract

Mobile Edge Computing focuses on the use of local edge devices in the community for task intensive mobile devices. This paper, we propose an incentive mechanism, including a bidding mechanism and a resource allocation scheme by solving the mixed integer programming which is NP-hard using auction. By considering the heterogeneous preferences of resources of task intensive mobile users, we offload independent tasks to local edge devices. We theoretically prove the economy properties of the proposed schemes such as individual rationality, budget balance and truthfulness. Simulation results show the proposed incentive mechanism is 36.27% higher than the exciting multi-round auction mechanism on total utility and 91.68% higher on allocation efficiency averagely.