Novel Cross Layer BPR Algorithm Based on Neural Fuzzy Connection Admission Controller in Hybrid Multimedia Ad Hoc Networks

摘要：

The special scenario of the topology in the hybrid multimedia Ad Hoc networks was analyzed and a novel cross layer Biomimetic Pattern Recognition (BPR) algorithm based on Neural Fuzzy Connection Admission Controller (NFCAC) was proposed. The novel algorithm integrated the attributes both of NFCAC and the topology space in special scenario. The topology and the power consumption of each node can all be optimized due to the minimum link occupation with the help of the algorithm. Simulation results shown that the novel algorithm can give more BPR guarantee to the networks in the variable node loads and transmitting powers, and make the node more stable to support multi-hops at the same time.

关键词： Cross Layer BPR Algorithm Multimedia Ad Hoc Networks

作者: Yingji Zhong Yong Wang Dongfeng Yuan

作者单位: School of Information Science and Engineering, Shandong University, Jinan, Shandong 250100, China School of Information Science and Engineering, Shandong University, Jinan, Shandong 250100, China;St

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）