Low Energy Consumption Collection of Multi-Source Heterogeneous Sensor Data in the Open Environment of the Internet of Things
There is a large scale of heterogeneous data in the open environment of the Internet of Things,which increases the energy con-sumption of sensor data acquisition and easily leads to acquisition errors. To this end,the low-energy consumption acquisition of multi-source heterogeneous sensor data in the open environment of the Internet of Things is proposed. The data collection time,load balance and energy loss during data collection are used as evaluation functions. On this basis,a data collection and distribution model is con-structed,and then relevant network nodes are arranged to collect data information. a sensor node optimization deployment model is built, network channel allocation is optimized,and data collection energy consumption is reduced,so as to achieve the purpose of low-energy data collection. The experimental verification shows that to collect data by using this method,when the packet loss rate reaches 15％,the data collection error is 0.03 m. The average energy consumption is 5.24 J,the average number of surviving nodes is 141,and the average amount of collected data is 2.18×103 bit. The proposed method optimizes the data acquisition error and network channel allocation per-formance,and effectively reduces the energy consumption of sensor data acquisition.
sensor networkslow energy consumption data acquisitionInternet of Thingsload balancingmulti-source heterogeneous sensing
万方数据
维普
