Intelligent Sensing Simulation of Trust Transmission Energy Consumption of Internet of Things Nodes
The Internet of Things is composed of a large number of nodes distributed in different locations.Through energy consumption perception,the selection of trust transmission paths and communication methods between nodes can be optimized,thereby improving the performance and efficiency of the IoT network.Therefore,a method of intelligent perception for energy consumption through trust transmission among IoT nodes was proposed.By analyzing the architecture of the Internet of Things system,we extracted the energy consumption evaluation indicators for trust transmission of IoT nodes,thus constructing an indicator system.Then,we used the T-S fuzzy neural network to obtain the intelligent perception results of energy consumption corresponding to each indicator.Moreover,we adopted the method of analytic hierarchy process to fuse all perception results.Finally,we achieved the intelligent perception of energy consumption through trust transfer among IoT nodes.Experimental analysis proves that the proposed method can accurately perceive the changes in energy consumption during trust transmission among IoT nodes,with high per-ception efficiency and short time consumption,which can provide an important reference for further research and ap-plication of intelligent perception of energy consumption in trust transfer among IoT nodes.
Internet of Things(IoT)nodesTrustTransfer energy consumptionIntelligent perception
NETL
NSTL
万方数据
