INTELLIGENT RESOURCE MANAGEMENT SCHEMES FOR HETEROGENEOUS WIRELESS NETWORKS

被引：0

作者：

Huang, Chenn-Jung ^{[1
]}

Li, Ching-Yu ^{[2
]}

Chen, Yu-To ^{[1
]}

Lee, Che-Yu ^{[2
]}

Liao, Jia-Jian ^{[4
]}

Chang, Chi-Hsuan ^{[1
]}

Chen, I-Fan ^{[3
]}

Hu, Kai-Wen ^{[3
]}

Chen, Hong-Xin ^{[4
]}

Chen, You-Jia ^{[4
]}

机构：

[1] Natl Dong Hwa Univ, Dept Comp Sci & Informat Engn, Shoufeng 97401, Taiwan

[2] Natl Dong Hwa Univ, Inst Elect Engn, Shoufeng 97401, Taiwan

[3] Natl Tsing Hua Univ, Dept Comp Sci & Informat Engn, Hsinchu 30013, Taiwan

[4] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2011年 / 7卷 / 08期

关键词：

Resource management; Heterogeneous wireless networks; Immune binary particle swarm optimization algorithm; Call dropping probability; Bandwidth utilization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The integration of Wireless Metropolitan Area Network (WLAN) and Wireless Local Area Network (WMAN) technologies seems to be a feasible option for better and cheaper wireless coverage extension. WMAN/WLAN networks is still a challenging issue to be tackled. This work thus incorporates a variant of the particle swarm optimization.(PSO) algorithm, the so-called immune binary particle swarm optimization algorithm (IBPSO), into the design of the dynamic resource management scheme for heterogeneous wireless networks to effectively reduce the dropping probability of handoff calls and to maximize bandwidth utilization. The simulation results show that our scheme is effective in terms of performance metrics, including dropping probability of handoff calls, new call blocking probability, throughputs and bandwidth utilization.

引用

页码：4765 / 4777

页数：13

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