Task Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing Based on Bee Colony Algorithm

In the parallel computing task scheduling of wireless sensor networks, the resources of the edge server itself are limited, and the scheduling speed is slow. To solve this problem, a task scheduling method for wireless sensor multimedia big data parallel computing based on bee colony algorithm is designed. Design GSM wireless signal processing multi-core scheme and implement wireless signal processing. Message passing model is used as parallel programming model in scheduling. Improved the bee colony algorithm, designed the artificial bee colony algorithm, and realized the task scheduling of multimedia big data parallel computing based on the artificial bee colony algorithm. Test the scheduling performance of the design method. The test results show that the scheduling speed of the design method is fast, and the overall resource utilization is higher than 0.91.