Digital Signal Processing and Real Time Statistical Analysis in Wireless Sensor Networks Using Xbee and Java
R.K. Dhammi1, K.M. Soni2, S. Selvam3, Prabhdyal Singh4
1R.K. Dhammi , Ph. D Scholar, Amity University, Noida, India. Working in Mechatronics Department in Delhi Institute of Tool Engineering, New Delhi, India.
2K.M. Soni, Amity School of Engineering and Technology, Amity University, Noida, India.
3S. Selvam, Operations Department National Power Training Institute (NPTI), Neyveli, Chennai, India.
4Prabhdyal Singh, Pursuing his Masters from Technische Hochschule Deggendorf, Germany under Department of Mechanical and Mechatronics, Germany.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2184-2190 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8588088619/2019©BEIESP | DOI: 10.35940/ijeat.F8588.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Objective of this paper is how Digital Signal Processing can be implemented in Wireless Sensor Network (WSN) using Java. Digital Signal Processing enables the application of digital filters and algorithms. These filters have a great advantage over analog filters. Further, we have performed statistical analysis on the received dataset in real time. Statistical analysis gives us valuable information about the data and how it is distributed. The statistical analysis results will be logged in real time using the Java application.
Keywords: Wireless sensor networks, Xbee radio, Java, Digital Signal Processing, Statistical Analysis, Data logging.