An incentive-based workload assignment with power allocation in ad hoc cloud

2017 
Offloading has been widely adopted as an effective technique to overcome the processing and computation limitation in mobile networks. In this work, we consider the problem of offloading in a mobile ad hoc environment in order to improve the processing capability and power efficiency. We formulate this as an incentive-based workload assignment problem. For maximizing the individual utility, the buyer/seller game is formulated to model the interactions among mobile devices for offloading. We derive the Stackelberg Equilibrium solution is to determine the workload assignment and power allocation. Based on this, we design distributed allocation algorithms, and the results from experiment verify the effectiveness of our proposal.
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