Abstract

IOT (Internet of things) is not only about devices but also a connection of large systems that actually interact with environment. They seize the bodily data then process it then received by cloud systems. In this paper, it is discussed about how analytical signal methods are interacted with wireless sensors in order to improve data consistency and real time decision making. There are few steps in this IoT such as data intake, signal purification, signal transformation, pattern recognition. Using data cleansing and signal processing techniques such as Fourier transform-the accuracy and reliability sensors are upgraded. The key aspects of this proposed solution how integrated signal processing improves energy usage, reducing network congestion, and improving automation in IoT systems like smart homes, industrial tracking and health management system.