An Optimal Real-Time Distributed Algorithm for Utility Maximization of Mobile Ad Hoc Cloud

In this letter, we investigate utility maximization of mobile ad hoc cloud with an incentive mechanism to encourage mobile devices to share their idle resources. Considering that at different time slots the amount of resources demanded by the resource buyer (RB) is different and the revenue of per unit resource obtained by resource providers (RPs) is different, a real-time distributed algorithm is developed. First, by analyzing the preferences of the RB and RPs, the utility function and cost function are developed for them, respectively. Then, we propose a real-time distributed algorithm to find the maximum utility of the overall system under the price incentive mechanism, where the obtained optimal pricing can align the individual optimality with the overall system optimality. Simulation results confirm that the proposed algorithm can maximize the utility of the overall system compared with the state-of-the-art schemes.