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

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 NFC AC 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.