Smart Graphical User Interface for Wireless Sensor Network

Prashant V. Mane Deshmukh*
Assistant Professor, Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Hadapsar, India.
Periodicity:July - September'2018
DOI : https://doi.org/10.26634/jse.13.1.14844

Abstract

The Wireless Sensor Network is widely utilized technology in different sectors for collection of process field data and to control same. In a wireless sensor network the data acquisition and presentation play an important role in the signal monitoring and control system. Considering such facts, The Smart Graphical User Interface (GUI) is designed to demonstrate collected data at the base station from distributed sensor nodes, in a user friendly format and preserve the data of collected by, the sensor network for industrial application. Moreover, the smart GUI is developed to indicate faulty nodes and localize the sensor nodes from base station. Furthermore, the GUI is designed to achieve the goals such as like energy efficiency and database security. The details regarding the design and implementation of the GUI are discussed in this paper.

Keywords

LabVIEW, GUI, Wireless Sensor Network, Industrial Parameter Monitoring.

How to Cite this Article?

Mane-Deshmukh, P. V. (2018). Smart Graphical User Interface for Wireless Sensor Network. i-manager's Journal on Software Engineering, 13(1), 1-8. https://doi.org/10.26634/jse.13.1.14844

References

[1]. Adat, D. M., Mane-Deshmukh, P. V., Tilekar, S. K., & Ladgaonkar, B. P. (2018a). Mixed signal based VLSI technology for Wireless Sensor Network. International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), 7(4), 307-312.
[2]. Mane-Deshmukh, P., Pathan, S. C., Chanvan, S. V., Tilekar, S. K., & Ladgaonkar, B. P. (2016). Wireless Sensor Network for monitoring of air pollution near industrial sector. International Journal of Advanced Research in Computer Science and Software Engineering, 6(6), 638-645.
[3]. Dhumal, Y. R., & Chitode, J. S. (2013). Green house automation using Zigbee and smartphone. International Journal of Advanced Research in Computer Science and Software Engineering Research Paper, 3(5), 495-501.
[4]. Gupta, A., & Thangjam, S. (2012). AVR based temperature monitoring and controlling using Zigbee in Matlab. International Journal of Engineering Research and Technology (IJERT), 1(3), 1-4.
[5]. Jagadeesh, A. P., & Samue, R. D. S. (2010). Modeling, simulation and control of bioreactors process parametersremote experimentation approach, International Journal of Computer Applications, 1(10), 81-88.
[6]. Kaviyarasu, A., & Kumar, K. S. (2014). Simulation of Flapping-wing unmanned aerial vehicle using X-plane and Matlab/Simulink. Defence Science Journal, 64(4), 327-331.
[7]. Kumbhar, N. N., & Mane-Deshmukh, P. V. (2017). Smart door locking system using Wireless Communication Technology. International Journal for Research in Applied Science and Engineering Technology, 5(8), 507-512.
[8]. Kumbhar, N. N., & Mane-Deshmukh, P. V. (2018). Designing and development of PIC 18F4550 based Wireless natural light intensity control system for polyhouse for agricultural applications, 4 (1),1373-1377.
[9]. Mane-Deshmukh, P. V., & Ladgaonkar, B. P. (2016). Design and implementation of PIC microcontroller based Mote for Wireless Sensor Network for industrial applications (Doctoral Dissertation, Solapur University).
[10]. Mane-Deshmukh, P. V., Adat, D. M., Ladgaonkar, B. P., & Tilekar, S. K. (2018a). Designing of an embedded system for Wireless Sensor Network for hazardous gas leakage control for industrial Application, i-manager's Journal on Embedded Systems, 6(2), 1-9.
[11]. Mane-Deshmukh, P. V., Adat, D. M., Ladgaonkar, B. P.,& Tilekar, S. K. (2018b). Monitoring and control of gas leakages of industrial sector using PIC 18F4550, Zigbee and Wireless Sensor Actuator Network, i-manager's Journal on Electronics Engineering, 8(3), 5-13.
[12]. Mane-Deshmukh, P. V., Ladgaonkar, B. P., Pathan, S. C., & Shaikh, S. S. (2013). Microcontroller PIC 18f4550 based Wireless Sensor Node to monitor industrial environmental parameters. International Journal of Advanced Research in Computer Science and Software Engineering, 3(10), 943-950. TM
[13]. National Instruments, (2013). Lab VIEWTM. Retrieved from http://www.ni.com/pdf/manuals/373427j.pdf
[14]. Pravin, J., Deepak Sankar, A., & Angeline Vijula, D. (2013). Industrial pollution monitioring system using LabVIEW and GSM. International Journal of Advanced Reasearch in Electrical, Electronics and Instrumentation Engineering, 2(6), 2685-2693.
[15]. Raju, P. V., Aravind, R. V. R. S., & Kumar, B. S. (2013). Pollution monitoring system using Wireless Sensor Network in Visakhapatnam. International Journal of Engineering Trends and Technology, 4(4), 591-595.
[16]. Ramya, V., Palaniappan, B., & Kumari, A. (2011). Embedded patient monitoring system. International Journal of Embedded Systems and Applications, 12, 51- 63.
[17]. Roy, A., Bera, J., & Sarkar, G. (2012). A state-of-the-art PMU and MATLAB based GUI development towards power system state estimation on real time basis. Int. J. Electr., Electron Comput. Eng., 1(6), 40-45.
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