Research On Energy Saving Mechanism Under Abnormal State Of IoT Gateway

With the construction of the fifth-generation mobile communication technology(5G)network,the Internet of Things(Io T)is increasingly appearing in people's field of vision,and it is in the current era.The Internet of Things can be regarded as a combination of the Wireless Sensor Network(WSN)and the Internet in terms of structure.The gateway is the device that realizes the interconnection between the WSN and the Internet.The gateway is not only the interface of the two networks,but also one of the components of the two networks.WSN can be simply divided into two types of devices,terminal nodes and sink nodes.The sink node is part of the gateway and is responsible for summarizing the data of the terminal nodes.The terminal nodes are mostly battery-powered devices.Therefore,the energy saving of terminal nodes is one of the hot research directions.This topic considers the scenario of abnormal gateways and discusses energy-saving solutions in this scenario.1.Propose a dynamic sampling scheme under abnormal state of the gateway.The energy consumption of the terminal node in sampling under the abnormal state of the gateway is analyzed,and a method of storing the sampled data in the memory of the terminal node is proposed,and a dynamic energy-saving sampling scheme is proposed based on this.The relationship between the sampling frequency of the data and the second derivative of the data is analyzed,and the second derivative is derived from the second derivative.The second difference of the sampled data is designed to obtain the change trend of the data,and the change trend of the data is analyzed.Determine the next sampling interval time plan,thereby reducing the number of sampling.For the omitted sampling time points,the three-time exponential smoothing algorithm is used to predict the data,which guarantees the data accuracy.When the predicted value deviates greatly from the actual value,the sampling frequency is adjusted to the maximum,and three exponential smoothing values are initialized to correct the predicted deviation.Finally,the proposed scheme is verified by MATLAB simulation.2.Proposed an energy-saving communication scheme under the abnormal state of the gateway.Analyzed the communication energy consumption of the terminal node in the abnormal state of the traditional Internet of Things protocol,referring to the characteristics of the LEACH protocol that the cluster head collects node data and sends it to the base station to achieve energy saving,and proposes that the cluster head polls the gateway and broadcasts it to others The scheme of the node.In the LEACH protocol,the replacement of cluster heads requires re-clustering.A communication scheme using the dichotomous K-means algorithm for clustering is proposed,and the steps of the entire scheme are described in detail,including the discovery of gateway abnormalities,abnormal handling and Recovery and rotation of cluster heads.The energy consumption model of the node is established,and the routing energy consumption of the scheme is analyzed based on the model,and then the Dijkstra algorithm designs detailed routing for the scheme,including the routing during the normal period of the gateway and the abnormal period of the gateway.Finally,the proposed scheme is verified by MATLAB simulation.3.Established The software and hardware platform based on CC2530 chip and Zstack protocol stack,the scheme is implemented and the energy-saving effect of the scheme is evaluated,including the deviation of prediction data,sampling times and evaluation standard of node communication energy consumption.It is proved that the scheme can effectively realize the energy-saving of gateway under abnormal state.