Sensor-assisted multiple access protocols for wireless networks

被引:0
|
作者
Fine, TL [1 ]
Wicker, SB [1 ]
Berger, T [1 ]
机构
[1] Cornell Univ, Sch Elect Engn, Ithaca, NY 14853 USA
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This gaper describes a neural network-based system for stabilizing ALOHA random access networks. A grid of sensors is used to gather energy measurements for the neural network. The neural network has been trained to estimate the number of colliding users in a given slot. This information is used to set the parameters of the backoff algorithm so as to stabilize the network. This information can also be used in conjunction with steerable beam antennas to develop geographically-determined Aloha subchannels, further increasing the throughput of the system.
引用
收藏
页码:1149 / 1153
页数:5
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