Skip to main content
padlock icon - secure page this page is secure

The Amalgamative Sharp Wireless Sensor Networks Routing and with Enhanced Machine Learning

Buy Article:

$106.87 + tax (Refund Policy)

Wireless sensor networks (WSN) are most prominent domain in present networking world. Sensors are the devices used to sense the information transfer, routing, processing time, energy calculation and also to know the physical and environmental conditions. Many researchers worked on WSN to improve the performance of the sensors. Various algorithms are discussed about routing in WSN, information transfer and many sub domains. Machine Learning is used to control the process without any human interaction. In this paper, the amalgamative sharp WSN algorithm is introduced to show the performance based on information transfer, routing, processing time, and energy calculation. For the better results the ML algorithms are adopted with proposed algorithm. Results show the performance of the ASWSN algorithm.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: ASWSN; WSN

Document Type: Research Article

Affiliations: 1: Research Scholar, Lovely Professional University, Punjab 144411, India 2: Computer Science & Engineering Department, Lovely Professional University, Punjab 144411, India

Publication date: September 1, 2019

More about this publication?
  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
  • Editorial Board
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more