Quota Matching-based Task Offloading for WSN in Smart Grid

With the development of the smart grid, massive sensors are deployed to collect data and offload them to edge gateways for processing. However, the task offloading optimization still faces several challenges such as differentiated quality of service (QoS) requirements, decision coupling among multiple sensors, and the impact of electromagnetic interference. In this paper, a low complexity task offloading algorithm based on quota matching is proposed for wireless sensor network (WSN). The joint optimization problem is transformed into a quota matching problem. Through continuous iteration, a stable matching between sensors and servers is established to improve the weighted difference of delay and energy efficiency. The effectiveness of the proposed algorithm is validated through simulations.