Enhancing Reliability in Wireless Sensor Networks through Cluster Based Optimization
Yaqin Jasim Abd Hashim, Saad Talib Hasson · 2024
This study delves into enhancing the reliability of Wireless Sensor Networks (WSNs) through the implementation of the Low-Energy Adaptive Clustering Hierarchy (LEACH) algorithm. WSNs play a vital role in various domains, including environmental monitoring and industrial automation, necessitating dependable data transmission. Initially, the research evaluates the reliability of WSNs without clustering, serving as a baseline. Subsequently, LEACH is applied to organize sensors into clusters, optimizing energy usage and network efficiency. The focus lies on improving reliability metrics, such as packet delivery ratio (PDR), which quantifies the proportion of successfully transmitted data packets. Through simulation and analysis, the effectiveness of LEACH in enhancing reliability is thoroughly examined. The results demonstrate a significant enhancement in reliability, indicating a substantial reduction in packet loss and data inconsistency. This reliability enhancement is attributed to the intelligent clustering of sensors, which minimizes energy consumption and optimizes data routing. The findings underscore the importance of employing advanced algorithms like LEACH to bolster the reliability of WSNs, ensuring accurate and timely data delivery in critical applications.