New Energy-Efficient Hierarchical Clustering Approach Based on Neighbor Rotation for Edge Computing of IoT
Degan Zhang, Jianning Qiu, Ting Zhang, Hao Wu · 2019
Energy Efficient Hierarchical Clustering (EEHC) is a distributed random clustering algorithm for RWSNs with the goal of maximizing network lifetime. The novel energy-efficient hierarchical clustering approach based on neighbor rotation for edge computing of the Internet of Things (IOT) proposed in this paper determines whether a node can become a cluster head node by comparing the comprehensive weighting of the degree of the sensor node and the distance between the sensor node and the center of the subarea. When the cluster head is replaced, a member node in the set of neighbor nodes of the current cluster head becomes the new cluster head for a random time slice, and the merged information is transmitted to the nearest sink node in a multi-hop manner according to the routing information. Simulation results demonstrate that the proposed method is more effective in saving network energy, improving data transmission efficiency, and maximizing network lifetime.