The Amalgamative Sharp Wireless Sensor Networks Routing and with Enhanced Machine Learning
Sowjanya Ramisetty, Kavita Kavita, Sahil Varma · Journal of Computational and Theoretical Nanoscience · 2019
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.