A review on the performance analysis of high-performance computing techniques in wireless sensor networks

The paper provides a detailed review and study of the recent research literature on evaluating high-performance computing (HPC) performance in wireless sensor networks (WSNs). The emergence of WSNs for many applications such as industrial automation, healthcare, specific target applications such as environmental monitoring that demands precision, makes the integration of HPC a clear opportunity to increase data processing speed, energy saving and the overall performance of the network. In this literature review are works that mainly aim to focus on key performance indicators and the evaluation methodologies of studies as well as some recent updates in this field. The review offers a comprehensive summary of the state of research and technological development in both fields, providing insightful information about the general improvements in WSN technology as well as the integration of HPC with WSNs. The survey helps us to understand the effects of performance metrics, benchmark testing methods, and routing algorithms. Through its discussion of routing algorithms, benchmark testing methods, and performance metrics, the paper helps us to survey how the presence of HPC affects WSN performance.