SIMULATION-BASED ANALYSIS OF LATENCY AND ENERGY EFFICIENCY IN SMART ENVIRONMENT NETWORKS (ENHANCED VERSION)

Abstract

 
Abstract 
Smart Environments (SE) are rapidly evolving due to the expansion of Internet 
of  Things  (IoT)  technologies,  requiring  efficient  network  organization  to  ensure 
optimal  system  performance.  This  paper  presents  a  simulation-based  analysis  of 
latency  and  energy  efficiency  in  Smart  Environment  networks.  A  Python-based 
simulation model is developed to evaluate multiple network architectures, including 
flat topology, clustered topology, and edge-based computing. Mathematical models for 
latency,  energy  consumption,  and  packet  delivery  ratio  are  introduced.  The  results 
demonstrate  that  clustering  significantly  reduces  energy  consumption,  while  edge 
computing minimizes latency. A hybrid architecture combining clustering and edge 
processing achieves the best performance in terms of scalability and efficiency.