Research on Energy Consumption and Identifying Critical Nodes of Weighted Scale-Free Topology in Wireless Sensor Network

To address the problem of non-uniform energy consumption in wireless sensor networks, a weighted scale-free topological evolution model with localized energy isomers has been proposed. The relationship between node energy and strength and weight is established by modeling the relationship between node energy, load and energy consumption. A wireless sensor network energy balance topology control algorithm that conforms to power-law characteristics is established for degree distribution, node weight, and edge weight distribution. The energy balance of the network is achieved by controlling the energy parameters. Based on the intensity and weights obtained from the topology, we analyze the propagation index of node importance from both local and global perspectives, with the aim of avoiding the one-sidedness of a single attribute. The multi-attribute decision function is established using the influence indicators of neighboring nodes (Katz), the weighted mixed decomposition algorithm (W-MDD) and the weighted web page link algorithm (W-PageRank). The multi-attribute decision function is evolved into a multi-attribute weighted decision matrix using the TOPSIS method. The importance index of the nodes of the network is then obtained from the distance from the good-bad solution. Simulation results show that the proposed model not only accurately computes the load on nodes and edges, but also alleviates the imbalance in the energy consumption of nodes in scale-free networks. Moreover, the proposed critical node decision algorithm is more efficient than the single decision algorithm.