Enhanced Throughput and Power for Forth level of Heterogeneity using Sector based clustering Protocol (SBCP)

Abstract

Over the course of the last two decades, a considerable body of research has been devoted to devising methodologies aimed at prolonging the operational longevity of networks and enhancing data transfer rates. Notably, LEACH, PEGASIS, HEED, TEEN, and SEP have emerged as prominent clustering algorithms, each offering potential for augmenting network stability and throughput, thus concurrently extending the lifespan of camera sensor networks. Within this academic investigation, we present the Sector Based Clustering Protocol (SBCP) tailored explicitly to Third Level Heterogeneity, posited as an innovative approach fostering amplified data throughput and heightened power efficiency. Our proposed protocol attains a noteworthy 70% increase in data transfer rates, while rigorously upholding the quintessential requisites of network stability and sustained existence. The empirical evaluation, conducted through the implementation of sector-based clustering in MATLAB, includes a comparative analysis against LEACH, SEP, and ZSEP. The results obtained from this rigorous comparison underscore the superior performance of the proposed SBCP in terms of optimal data throughput, accompanied by marked enhancements in network stability vis-à-vis the aforementioned clustering algorithms.