An Energy-Efficient scheme for industrial wireless sensor network based on hierarchical network structure

Industrial wireless sensor Networks (IWSNs) are widely used in Internet of Things (IoT) scenarios. However, the rapid growth of sensor nodes and the transmission of a large number of redundant data lead to excessive energy consumption and accelerate the death of wireless sensor networks. In order to reduce redundant data transmission and energy consumption in wireless sensor networks, a data refusion scheme based on layered network structure (RF-LNS) is proposed. The whole sensor network is divided into direct transmission layer and cluster layer. Cluster layer uses non-uniform clustering to balance network energy consumption and perform the first data fusion. At the same time, a low redundancy data refusion algorithm is designed to perform the second data fusion in the direct transmission layer. Simulation results show that compared with other protocols, RF-LNS scheme can save the energy of network nodes more effectively, reduce the energy consumption rate, and prolong the life of wireless sensor network.