Self-repair Clustering Routing Algorithm of Wearable Wireless Sensor Network based on Energy Balance

Abstract:
With the frequent occurrence of large-scale natural or man-made accidents worldwide, the safety of rescuers after disasters has become the focus of widespread attention. In actual disaster scenarios, the link is prone to breakage, which requires quick response and timely repair, and it is ensured that the repaired link will not break again in a short time. This paper proposes a clustered routing algorithm (EBCN) for the energy-balanced autonomous repair of unevenly deployed nodes suitable for post-disaster rescue. The cluster head node is selected by judging the remaining energy of the node, the node degree, and the average communication distance, so as to avoid the hot spot problem and improve the balance of energy consumption. In addition, when a cluster member moves out of the cluster, an autonomous repair algorithm is used to restore network communication and enhance network stability. The simulation results show that, compared with the traditional repair algorithm, this algorithm has a longer survival time of the nodes in the network after the repair is completed, and the energy consumption is more balanced.