Open AccessResearch Analysis of Signals using Machine Learning Techniques
Author(s) -
Er. Navpreet Kaur*,
Inderdeep Kaur Aulakh
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5556.098319
Subject(s) - wireless sensor network , computer science , process (computing) , simple (philosophy) , wireless , scale (ratio) , real time computing , computer network , telecommunications , geography , operating system , philosophy , cartography , epistemology
Enhancements in installed microchips, low-control simple and computerized hardware, and radio correspondences have empowered the improvement of little and low-estimated sensor hubs or nodes (SNs) that made remote sensor systems, WSNs one of the promising advances amid the previous decade. Over the most recent couple of years wireless sensor systems (WSNs) have drawn the consideration of the exploration network, driven by an abundance of hypothetical and viable difficulties. This dynamic research in WSNs investigated different new applications empowered by bigger scale systems of sensor hubs fit for detecting data from nature, process the detected information and transmits it to the remote area. [1][2][3]