Design of the Fuzzy-based Mobile Model for Energy Efficiency within a Wireless Sensor Network

• Published in: Journal of information and communication convergence engineering Vol. 19; no. 3; pp. 136 - 141
• Main Authors: Yun, Dai Yeol, Lee, Daesung
• Format: Journal Article
• Language: Korean
• Published: 2021
• Subjects: MANET; WSN; Fuzzy Inference System; FND; Stochastic mobility model
• ISSN: 2234-8255; 2234-8883

Research on wireless sensor networks has focused on the monitoring and characterization of large-scale physical environments and the tracking of various environmental or physical conditions, such as temperature, pressure, and wind speed. We propose a stochastic mobility model that can be applied to a MANET (Mobile Ad-hoc NETwork). environment, and apply this mobility model to a newly proposed clustering-based routing protocol. To verify its stability and durability, we compared the proposed stochastic mobility model with a random model in terms of energy efficiency. The FND (First Node Dead) was measured and compared to verify the performance of the newly designed protocol. In this paper, we describe the proposed mobility model, quantify the changes to the mobile environment, and detail the selection of cluster heads and clusters formed using a fuzzy inference system. After the clusters are configured, the collected data are sent to a base station. Studies on clustering-based routing protocols and stochastic mobility models for MANET applications have shown that these strategies improve the energy efficiency of a network.