i-manager Publications

Investigation of WSN Parameters for Realization of Quality of Service

Prashant V. Mane Deshmukh*, B. P. Ladgaonkar**, S. K. Tilekar***

* Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Hadapsar, Pune, Maharashtra, India.

** Ganpatrao Arwade College of Commerce, Sangli, Maharashtra, India.

*** Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India.

Periodicity:July - September'2019
DOI : https://doi.org/10.26634/jwcn.8.2.16663

Abstract

In this paper, emphasizing on the Quality of Service (QoS), the parameters of the industrial Wireless Sensor Network have been investigated. Deploying an ubiquitous embedded technology, the smart sensor motes have been designed in which the standards of IEEE 1451 are realized. According to these standards, the Network Capable Application Processor (NCAP) plays a vital role on establishment of wireless communication, along with transduction and intelligent computing. The ZigBee device has been used to facilitate the sensor motes with smart communication module. The ZigBee devices are operating according to IEEE 802.15.4 with amended PHY and MAC layers. Thus, the sensor motes have been designed, wherein two standards IEEE 1451 and IEEE 802.15.4 are suitably confluenced. The base station, which is inherent part of WSN, is developed and utilized for the establishment of WSN in desired protocol. The parameters, such as Receiver Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), Packet Reception Rate (PRR), Delay Time (DT) etc, being QoS parameters of the dedicated WSN are investigated for both indoor as well as outdoor environment. It was found that, the values of RSSI and LQI are measured for both indoor as well as outdoor environment, which are in the limit of agreement. Both RSSI and LQI decrease with increase in distance of mote from base station. The packet reception rate is estimated from the rate of packets stored in the data base. PRR is within the range from 96% to 100%, which suggest that the data loss is less than 4%. The latency expressed by measuring delay time is also very less. It was found that, the values of these QoS parameters are mostly sensitive to the infrastructural obstacles. From results of investigation, the WSN provides good QoS and hence ensure its suitability of industrial deployment.

Keywords

Wireless Sensor Network, Quality of Service, RSSI, LQI, PRR, ZigBee, etc.

How to Cite this Article?

Deshmukh, P. V. M., Ladgaonkar, B. P., and Tilekar, S. K. (2019). Investigation of WSN Parameters for Realization of Quality of Service. i-manager’s Journal on Wireless Communication Networks , 8(2), 8-19. https://doi.org/10.26634/jwcn.8.2.16663

References

[1]. Alhasanat, A. I., Matrouk, K. D., Alasha'ary, H. A., & Al- Qadi, Z. A. (2014). Connectivity-based data gathering with path-constrained mobile sink in wireless sensor networks. Wireless Sensor Network, 6(6), 118-128. https:// doi.org/10.4236/wsn.2014.66013

[2]. Chipde, N, U., & Raut, V, R., (2013). Industrial process parameter control using ethernet. International Journal of Science and Research, 2(5), 449-452.

[3]. Christin, D., Mogre, P. S., & Hollick, M. (2010). Survey on wireless sensor network technologies for industrial automation: The security and quality of service perspectives. Future Internet, 2 (2), 96-125. https://doi.org/10.3390/fi2020096

[4]. Deshmukh, P. V. M. (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

[5]. Deshmukh, P. V. M., 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.

[6]. Deshmukh, P. V. M., 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.

[7]. Gungor, V. C., & Hancke, G. P. (2009). Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Transactions on Industrial Electronics, 56(10), 4258-4265. https://doi.org/ 10.1109/TIE.2009.2015754

[8]. Hernandez, W. (2006). Improving the response of a load cell by using optimal filtering. Sensors, 6(7), 697- 711.https://doi.org/10.3390/s6070697

[9]. Lee, D. H. (2013). Fast notification architecture for wireless sensor networks. International Journal of Electronics, 100(3), 371-383. https://doi.org/10.1080/ 00207217.2012.713012

[10]. Nadimi, E. S., Søgaard, H. T., Bak, T., & Oudshoorn, F. W. (2008). ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass. Computers and Electronics in Agriculture, 61(2), 79-87. https://doi.org/10.1016/j.compag.2007. 09.010

[11]. Ngai, E. C., Lyu, M. R., & Liu, J. (2005). A real-time communication framework for wireless sensor-actuator networks. IEEE Aerospace Conference Paper, 1622(2), 1-9.

[12]. Rasin, Z., & Abdullah, M. R. (2009). Water quality monitoring system using zigbee based wireless sensor network. International Journal of Engineering and Technology, 9(10), 24-28.

[13]. Rorato, O., Bertoldo, S., Lucianaz, C., Allegretti, M., & Notarpietro, R. (2013). An ad-hoc low cost wireless sensor network for smart gas metering. Wireless Sensor Network, 5(3), 61-66. https:// doi.org/10.4236/ wsn.2013.53008

[14]. Somani, N. A., & Patel, Y. (2012). Zigbee: A low power wireless technology for industrial applications. International Journal of Control Theory and Computer Modelling (IJCTCM), 2(3), 27-33. https://doi.org/10.5121/ ijctcm.2012.2303

[15]. Suhonen, J., Hämäläinen, T. D., & Hännikäinen, M. (2010). Class of service support layer for wireless mesh networks. International Journal of Communications, Network and System Sciences, 3(2), 140-151.

[16]. Xu, G., Shen, W., & Wang, X. (2014). Applications of wireless sensor networks in marine environment monitoring: A survey. Sensors, 14(9), 16932-16954. https://doi.org/10.3390/s140916932

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Investigation of WSN Parameters for Realization of Quality of Service

Abstract

Keywords

How to Cite this Article?

References

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