Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (4): 119-121.

• 网络、通信与安全 • Previous Articles     Next Articles

Optimitation for scheduling burst data based on ants colony algorithm and its simulations

JIAO Dian-ke   

  1. Computer Science & Engineering College,Liaoning University of Technology,Jinzhou,Liaoning 121001,China
  • Received:2007-09-08 Revised:2007-12-01 Online:2008-02-01 Published:2008-02-01
  • Contact: JIAO Dian-ke

基于蚂蚁算法的突发数据准入优化及仿真

焦殿科   

  1. 辽宁工业大学 计算机科学与工程学院,辽宁 锦州 121001
  • 通讯作者: 焦殿科

Abstract: The burst data admission control is considered in the context of CDMA 2000 downlink in the Media Access Control (MAC) layer.The proposed algorithm is based on ant colony optimization to allocate resources(i.e.channels) to burst high data rate requests.The performance is evaluated by event-drive simulations.It is shown that the performance is improved by using average throughput and average packet delay.

Key words: CDMA, burst data, admission control, ants colony algorithm, event-drive simulation

摘要: 在CDMA2000下行链路媒体准入控制(MAC)层,研究突发数据准入控制。用蚁群优化方法,解决突发数据请求的信道资源分配问题,并通过事件驱动方法进行了仿真研究,结果表明平均吞吐率、平均时延均有改善。

关键词: CDMA, 准入控制, 突发数据, 蚂蚁算法, 事件驱动仿真