A Practical Solution for Location Estimation in Manually Deployed Wireless Sensor Networks

Om Prakash Sahu, Tarun Dubey

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DOI: 10.4236/wsn.2011.34013                

Abstract

This paper addresses the existing research and adds another aspect of functionality by incorporating pertinent sensor nodes to provide a dynamic location discovery and estimation. The software used provides an easy graphical user interface to visualize a particular location in accordance with geographical latitude and longitude. A simple real time location estimation technique is worked out for wireless sensor networks based on manual deployment of sensors. The proposed scheme finds more efficient solutions with less quantity of sensors as compared to existing deployment schemes. The set up is evaluated exclusively in real environments using IRIS sensor nodes supported by a global positioning system module to provide visualization of an outdoor location. The results are offered by Google Earth application.

Keywords

Wireless Sensor Network (WSN), Global Positioning System (GPS), Localization, Sensor Node, IRIS Sensor

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	D. Culler, D. Estrin, and M. Srivastava, “Overview of Sensor Networks,” IEEE Computer, Vol. 37, No. 8, 2004, pp. 41-49.
[2]	G. J. Pottie and W. J. Kaiser, “Embedding the Internet: Wireless Integrated Network Sensors,” Communications of the ACM, Vol. 43, No. 5, 2000, pp. 51-58. doi:10.1145/332833.332838
[3]	Y. Xu, J. Heidemann and D. Estrin, “Geography Informed Energy Conservation for Ad Hoc Routing,” Proceedings of the 7th ACM/IEEE Annual International Conference on Mobile Computing and Networking, Italy, 16-21 July 2001, pp. 70-84.
[4]	I. Chatzigiannakis, G. Mylonas and S. Nikoletseas, “50 Ways to Build your Application: A Survey of MiddleWare and Systems for Wireless Sensor Networks,” IEEE Conference on Emerging Technologies and Factory Automation, Greece, 25-28 September 2007, pp. 466-473.
[5]	K. Henricksen and R. Robinson, “A Sur-vey of Middleware for Sensor Networks: State of the Art and Future Directions,” Proceedings of the International workshop on Middleware for Sensor Networks, Melboume, 27 November-1 December 2006, pp. 60-65.
[6]	D. Georgoulas and K. Blow, “In Motes Bins: A Real Time Application for Environmental Monitoring in Wireless Sensor Networks,” Proceedings of the 9th IEEE/IFIP International Conference on Mobile and Wire- less Communications Networks, Cork, 19-21 September 2007, pp. 21-26.doi:10.1109/ICMWCN.2007.4668173
[7]	I. Chatzigiannakis, G. Mylonas and S. Nikoletseas, “jWeb Dust: A Java-Based Generic Application Environment for Wireless Sensor Networks,” Proceedings of the 1st In-ternational Conference on Distributed Computing in Sensor Systems, Marina del Rey, 30 June-1 July 2005, pp. 376-386.
[8]	P. Buonadonna, D. Gay, J. Hellerstein, W. Hong and S. Madden, “TASK: Sensor Network in a Box,” Proceedings of the 2nd European Workshop on Wireless Sensor Networks, Los Alamitos, January-February 2005, pp. 133-144. doi:10.1109/EWSN.2005.1462005
[9]	S. Krco, D. Cleary and D. Parker, “Enabling Ubiquitous Sensor Networking over Mobile Networks through Peer- to-Peer overlay Networking,” Computer Communications, Vol. 28, No. 13, 2005, pp. 1586-1601.
[10]	M. J. Tian, D. Zhao and W. Yan, “Backbone Based GPS-Free Localiza-tion in Mobile Ad-Hoc Networks,” Chinese Journal of Electronics, Vol. 16, No.1, 2007, pp. 155-160.
[11]	S. Sumathi and P. Surekha “Lab VIEW Based Advanced In-strumentation Systems,” Springer, New York, 2007.
[12]	S. Ratnasamy, B. Karp, L. Yin, F. Yu, D. Es-trin, R. Govindan and S. Shenker, “GHT: A Geographic Hash Table for Data-Centric Storage”, Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, Atlanta, 28 September 2002, pp.78-87.
[13]	T. He, S. Krishnamurthy, J. A. Stankovic, T. Abdelzaher, L. Luo, R. Stoleru, T. Yan, L. Gu, J. Hui and B. Krogh, “Energy-Efficient Surveillance System Using Wireless Sensor Networks,” Proceedings of the 2nd International Conference on Mobile Systems, Applications and Services, Boston, 6-9 June 2004, pp.270-283. doi:10.1145/990064.990096
[14]	S. L. Wu, Y. C. Tseng, C. Y. Lin and J. P. Sheu, “A Multi-Channel MAC Proto-col with Power Control for Multi-Hop Mobile Ad Hoc Networks,” The Computer Journal, Vol. 45, No. 1, 2002, pp. 101-110. doi:10.1093/comjnl/45.1.101
[15]	R. Stoleru, H. Tian and J. A. Stankovic, “Walking GPS: A Practical Solution for Localization in Manually Deployed Wireless Sensor Networks,” Proceedings of the 29th Annual IEEE Inter-national Conference on Local Computer Networks, Tampa, 16-18 November 2004, pp. 480-489.
[16]	Crossbow Technology, Inc. MPR/MIB Mote Hardware Users Ma-nual, 2006. The user manual is retrieved from http://www.xbow.com/Support/Support_pdf_files/MPRMIB_Series_Users_Manual.pdf/
[17]	Crossbow Technology, Inc. Mica2 datasheet, 2006. The datasheet of Mica2 mote platform is retrieved from http://www.xbow.com/Products/Product_pdf_files/