Co-cluster homotopy queuing model in nonlinear algebraic topological structure for improving poison distribution network communication

Co-cluster homotopy queuing model in nonlinear algebraic topological structure for improving poison distribution network communication

Nonlinear network creates complex homotopy structural communication in wireless network medium because of complex distribution approach. Due to this multicast topological connection structure, the queuing probability was non regular principles to create routing structures. To resolve this problem, we propose a Co-cluster homotopy queuing model (Co-CHQT) for Nonlinear Algebraic Topological Structure (NLTS-) for improving poison distribution network communication. Initially this collects the routing propagation based on Nonlinear Distance Theory (NLDT) to estimate the nearest neighbor network nodes under${non\ linear\ at\ x}_{\left(a,b\right)\to }{ax}^2+{bx}^2=c.$ Then Quillen Network Decomposition Theorem (QNDT) was applied to sustain the non-regular routing propagation to create cluster path. Each cluster be form with co variance structure based on Two unicast 2(n+1)-Z network. Based on the poison distribution theory $X_{(a,b)}\neq \ \mu (C)$, at number of distribution routing strategies weights are estimated based on node response rate. Deriving shorte;"l/st path from behavioral of the node response, Hilbert --Krylov subspace clustering estimates the Cluster Head (CH) to the routing head. This solves the approximation routing strategy from the nonlinear communication depending on Max- equivalence theory (Max-T). This proposed system improves communication to construction topological cluster based on optimized level to produce better performance in distance theory, throughput latency in non-variation delay tolerant.

Nonlinear network creates complex homotopy structural communication in wireless network medium because of complex distribution approach. Due to this multicast topological connection structure, the queuing probability was non regular principles to create routing structures. To resolve this problem, we propose a Co-cluster homotopy queuing model (Co-CHQT) for Nonlinear Algebraic Topological Structure (NLTS-) for improving poison distribution network communication. Initially this collects the routing propagation based on Nonlinear Distance Theory (NLDT) to estimate the nearest neighbor network nodes under${non\ linear\ at\ x}_{\left(a,b\right)\to }{ax}^2+{bx}^2=c.$ Then Quillen Network Decomposition Theorem (QNDT) was applied to sustain the non-regular routing propagation to create cluster path. Each cluster be form with co variance structure based on Two unicast 2(n+1)-Z network. Based on the poison distribution theory $X_{(a,b)}\neq \ \mu (C)$, at number of distribution routing strategies weights are estimated based on node response rate. Deriving shorte;"l/st path from behavioral of the node response, Hilbert --Krylov subspace clustering estimates the Cluster Head (CH) to the routing head. This solves the approximation routing strategy from the nonlinear communication depending on Max- equivalence theory (Max-T). This proposed system improves communication to construction topological cluster based on optimized level to produce better performance in distance theory, throughput latency in non-variation delay tolerant.