A Method for Establishing Communication Network with Low Cost and High Stability

The Hamiltonian cycle in graph theory is helpful to deal with the stability problem in network communication. However, how to balance the comprehensive cost and communication reliability in network communication is an unresolved issue. This paper proposes a new reliability network algorithm. This method comprehensively compares cost factors and stability factors, and provides a more effective solution for constructing low-cost and high-reliability network communications. Through comparative analysis with graph theory algorithms and heuristic learning algorithms, and tests on actual network communication problems, it is finally verified that the method proposed in this paper is more reasonable, effective, stable and feasible than previous methods.