Scalable Cognitive Routing Protocol for Mobile Ad-Hoc Networks

被引：0
|
作者：
Ju, Suyang [1 ]
Evans, Joseph B. [1 ]
机构：
[1] Univ Kansas, Lawrence, KS 66045 USA
来源：
2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010 | 2010年
关键词：
scalable; multi-interface; cognitive; machine learning; mobile ad-hoc network; prediction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces a novel scalable cognitive routing protocol (SCRP) for mobile ad-hoc networks. It is an on-demand cognitive routing protocol. It employs an intelligent flooding protocol, a novel approach for scalable flooding. A neural network machine learning method is adopted to make nodes aware of history. The intelligent flooding protocol saves routing overhead because nodes selectively flood RREQ packets along predicted strong links and over predicted good frequencies. The intelligent flooding protocol can be divided into two parts, the space flooding protocol and the spectrum flooding protocol. Simulation results show that SCRP scales well by network size, network dynamics and network spectrum.
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页数：6
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