A Novel Cross Layer NFCAC Game Algorithm in IEEE 802.16-based Multi-radio Heterogeneous Ad Hoc Networks

The special scenario of the topology in the IEEE 802.16-based multi-radio heterogeneous ad hoc networks was analyzed and a novel cross layer game algorithm based on neural fuzzy connection admission controller (NFCAC) was proposed in this paper. NFCAC has been successfully applied in the control-related problems of neural networks. However, there is no discussion about the power control game algorithm and location recognition based on NFCAC in heterogeneous ad hoc networks. The proposed 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 show that the novel algorithm can give more power control guarantee to heterogeneous ad hoc networks in the variable node loads and transmitting powers, and make the node more stable to support multi-hops at the same time.