An energy‐efficiency‐adaptive clustering formation mechanism for the wireless sensor networks

Abstract

Energy inequality caused by the process of cluster head election has a large influence on energy efficiency and the network lifetime of wireless sensor networks (WSNs). To this end, a novel concept of EIec is proposed to evaluate the equality degree of energy consumption. Related theorems for establishing the candidate set of cluster heads are proposed, with the aim of promoting energy equality in each cluster. Subsequently, a novel energy‐efficiency‐adaptive cluster formation mechanism based on economic (ECFE) theory is proposed and detailed. Finally, extensive experiments are carried out to assess its energy efficiency and the network performance by comparisons with the existing classic and latest intelligent clustering algorithms. The results indicate that ECFE improves not only the energy efficiency but also the network performance effectively.

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

“…Therefore, it improves network efficiency. Lin et al [33] proposed an energy-efficient-adaptive clustering formation mechanism for WSN (ECFE) in which the CHs are chosen based on the value of energy efficiency welfare (EEW). EEW contains the residual energy of sensor nodes and the Euclidean distance among them in the same cluster.…”

MMSCM: A multiple mobile sinks coverage maximization based hierarchical routing protocol for mobile wireless sensor networks

“…Many schemes have been proposed for extending the duration of MWSNs. Cluster-based hierarchical routing protocols [6][7][8][9][10][11][12] surpass other routing techniques in terms of scalability, prolonged network life, and reduced energy expenditure. This protocol works by organizing the network into fixed-sized clusters so that the nodes within the cluster pass the captured environmental information to its cluster's cluster head (CH), which successively passes to the next hop or sink.…”