Modern Resource Conservation Strategies to Develop Multifaceted Applications of Wireless Sensor Networks: A Review

Abstract

The terms data and internet are seen as key ingredients today in developing IoT enabled wireless infrastructure to connect digital machines across the globe. As of now wireless sensor networks form a vital platform to perform 5G and 6G computing such that huge amount of data has been delivered across millions of customers by several services namely IoMT (Internet of Medical Things), IoT for industry, environment monitoring, pollution control, surveillance and etc. There are already a vast number of literature works carried out on portraying WSN features and flexibilities concurrently focusing on uprising challenges in the context of possible future expansions. In this survey, authors consider the very persistent WSN metrics such as energy efficiency, latency and throughput to compare with some of the existing works. The work does also perform certain observations on existing machine learning techniques, optimization algorithms in developing particular WSN architecture in sectors like medical infrastructure, industrial process control, solid waste management and smart city construction to mention a few. The work highlights the significance of existing new age trends and strategic approaches of WSN infrastructure development