Task Dynamic Scheduling Based on Ant Colony Algorithm in Wireless Sense Network
For energy-constrained wireless sensor network constraints, in this paper, ant colony algorithm and task migration dynamic scheduling of tasks are proposed. Due to the limitations of ant colony algorithm, the partial pheromone-proliferation strategy, and from the energy point of view of improving the inspiration factor are proposed, too. Finally, the proposed task migration strategy and algorithm process, the simulation algorithm to improve the network has not only higher life expectancy, and improved the success rate of task scheduling.
ant colony algorithm task migration Wireless Sense Network
Lei Lin Li Haitao
School of Automation Engineering, University of Electronic Science and Technology of China, Sichuan, China, 610054
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
2089-2092
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）