(RCFT) ReClustering Formation Technique in Hierarchical Sensor Network

TL;DR

This paper introduces RCFT, a clustering protocol for hierarchical sensor networks that reconstructs clusters based on node positions to improve energy efficiency, demonstrated through simulations showing balanced clusters and reduced energy consumption.

Contribution

The paper presents a novel ReClustering Formation Technique (RCFT) that reconstructs clusters considering node positions to enhance energy efficiency in sensor networks.

Findings

Clusters are evenly composed through simulation.

Energy consumption is reduced with RCFT.

Reconstruction improves cluster balance.

Abstract

TBecause of limited energy of nodes, an important issue for sensor network is efficient use of the energy. The clustering technique reduces energy consumption as cluster head sends sensed information to a sink node. Because of such character of clustering technique, electing cluster head is an important element for networks. This paper proposes RCFT (ReClustering Formation Technique) that reconstruct clusters in hierarchical sensor networks. RCFT is a protocol that reconstructed clusters considering position of a cluster head and nodes in randomly constructed clusters. And this paper demonstrated that clusters are composed evenly through simulation, accordingly this simulation shows the result reducing energy consumption.