A Hybrid Clustering Metric-Based Algorithm for Wireless Sensor Networks

In wireless sensor network (WSN), clustering of nodes is an effective way to organize the network structure. The cluster head (CH) is responsible for the creation of the network dominating set, the maintenance of the network topology structure and the data collection. Each cluster head is responsible for managing all nodes belonging to its subset. In this paper, we propose a new distributed clustering algorithm called HCMA based on a previous algorithm. The HCMA algorithm calculates the link state between nodes, node congestion state and energy consumption of nodes as the mixed measure in order to elect the cluster head. This solution is primarily intended to provide better performance, such as the maximum survival time, and reduce the packet loss rate. The simulation results show that HCMA can reduce the packet loss quantity and improve the network lifetime compared with other similar methods.