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Clustering Routing Algorithm Based on Energy Threshold and Location Distribution for Wireless Sensor Network

Energy efficiency has always been a major challenge in routing algorithm design. Aiming at the disadvantage of low energy efficiency of distributed energy efficient clustering algorithm (DEEC), an improved energy heterogeneous clustering routing algorithm is proposed. The improved algorithm is divided into two stages: cluster head selection and inter-cluster multi-hop transmission. In the stage of cluster head selection, the cluster head selection is made more reasonable and effective by setting energy threshold and location distribution. In the multi-hop transmission stage, the next hop node is determined considering the position, remaining energy, number of forwarding and number of nodes in the cluster. Simulation results show that compared with the original algorithm, the improved algorithm extends the network life cycle, balances the network energy load, and improves the data transmission efficiency.