Research Article
Task Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing Based on Bee Colony Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50577-5_29, author={Tongxi Lin and Fulong Zhong}, title={Task Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing Based on Bee Colony Algorithm}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Bee Colony Algorithm Wireless Sensor Parallel Computing Computing Task Scheduling}, doi={10.1007/978-3-031-50577-5_29} }- Tongxi Lin
Fulong Zhong
Year: 2024
Task Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing Based on Bee Colony Algorithm
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_29
Abstract
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.
