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Reseach Article

Data Visualization Tools for WSNs: A Glimpse

by Bhawana Parbat, A. K. Dwivedi, O. P. Vyas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 1
Year of Publication: 2010
Authors: Bhawana Parbat, A. K. Dwivedi, O. P. Vyas
10.5120/617-868

Bhawana Parbat, A. K. Dwivedi, O. P. Vyas . Data Visualization Tools for WSNs: A Glimpse. International Journal of Computer Applications. 2, 1 ( May 2010), 14-20. DOI=10.5120/617-868

@article{ 10.5120/617-868,
author = { Bhawana Parbat, A. K. Dwivedi, O. P. Vyas },
title = { Data Visualization Tools for WSNs: A Glimpse },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 1 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number1/617-868/ },
doi = { 10.5120/617-868 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:25.411609+05:30
%A Bhawana Parbat
%A A. K. Dwivedi
%A O. P. Vyas
%T Data Visualization Tools for WSNs: A Glimpse
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 1
%P 14-20
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks (WSNs) is an emerging area of research. With the increase in applications for sensor networks, data manipulation and representation have become a crucial component of sensor networks. These networks have typically no means of visualizing their internal state, sensor readings or computational results. Visualization is therefore a key issue to develop and operate these networks. Data emitted by individual sensor nodes is collected by gateway and forwarded to a machine called base station/sink. It can then be passed via Internet connectivity to the visualization software (tool) on a potentially remote machine. Visualization plug-ins can register to different data types, and visualize the information using a flexible multi-layer mechanism that renders the information on a canvas. Developers can easily adapt existing or develop new custom tailored plug-ins for their specific visualization needs and applications. The objective of this contribution is to present a detailed survey on various data visualization tools for WSNs.

References
  1. Carsten Buschmann, Dennis Pfisterer, Stefan Fischer, Sándor P. Fekete, Alexander Kröller, “SpyGlass: A Wireless Sensor Network Visualizer”, ACM SIGBED Review, vol. 2, issue 1, pp.1- 6, 2005.
  2. Yu Yang, Peng Xia, Liang Huang, Quan Zhou, Yongjun Xu, Xiaowei Li, “SNAMP: A Multi-sniffer and Multi-view Visualization Platform for Wireless Sensor Networks,” IPN Progress Report, May 15, 2005.
  3. Lie Shu, Chun Wu, Yan Zhang, JimingChen, Lie Wang, Manfred Hauswirth, “NetTopo: beyond simulator and visualizer for wireless sensor networks”, ACM SIGBED, Volume 5, 2008.
  4. MSR Sense - MSR Networked Embedded Sensing Toolkit http://research.microsoft.com/nec/msrsense/, March 2006.
  5. Mark Miyashita, Mikhail Nesterenko, Romil D. Shah and Adnan Vora, “Visualizing Wireless Sensor Networks: Experience Report”, International Conference on Wireless Networks 2005.
  6. José Pinto, Alexandre Sousa, Paulo Lebres, Gil Manuel Gonçalves, João Sousa, “MonSense - application for deployment, monitoring and control of wireless sensor networks”, Poster in ACM RealWSN'06
  7. Crossbow Technology Inc., “Mica2Mote,” http://www.xbow.com.
  8. Yu Yang, Peng Xia, Liang Huang, Quan Zhou, Yongjun Xu, Xiaowei Li, “SNAMP: A Multi-sniffer and Multi-view Visualization Platform for Wireless Sensor Networks”, In Proceedings of 1st IEEE Conference on Industrial Electronics and Applications, pp.1-4, 2006.
  9. Fengxian Fan and Edoardo S.Biagioni, “An Approach to Data Visualization and Interpretation for Sensor Networks,” Proceedings of the 37th Hawaii International Conference on System Science, 2004.
  10. M. Tuton, “MOTEVIEW: A sensor network monitoring and management tool,” In Proceedings of Second IEEE Workshop on Embedded Networked Sensors (EmNetS-II), pp. 11 – 18, 2005.
  11. Start Guide of Tmote nodes http://www.moteiv.com/products/docs/tmotesky-quickstart.pdf
  12. Webpage of Moteiv Corporation: http://www.sentilla.com/
  13. Meshnetics: “Meshnetics Demonstrated Integration of Wireless Sensor Data with SCADA System”, available at: http://www.meshnetics.com/press_releases/MeshNetics_SensiLink_Press_Release_25Jun06.pdf
  14. Rafael De T.Valle, Diego Passos, Celio Albuquerque, “Mesh Topology Viewer (MTV): an SVG-Based Interactive Mesh Network Topology Visualization Tool”, In proceedings of IEEE Symposium on Computers and Communications (ISCC), pp. 292-297, 2008.
  15. F. Tirkawi, S. Fischer, “Remote interaction tool for wireless sensor networks”, In Proceedings of 3rd International Symposium on Wireless Pervasive Computing (ISWPC), pp. 360 – 364, 2008. ISBN: 978-1-4244-1652-3 (Print)
  16. Mica graph viewer: D. Davcev, A. Kulakov, S. Gancev, “Experiments in Data Management for Wireless Sensor Networks”, In Proceeding of Sensor Technologies and Applications, SENSORCOMM ‘08, pp. 191-195, 2008.
  17. Raja Jurdak, Antonio G. Ruzzelli, Alessio Barbirato, Samuel Boivineau, “Octopus: monitoring, visualization, and control of sensor networks”, Wireless Communications and Mobile Computing, 2009 John Wiley & Sons ISSN (Print) 1530-8669 - ISSN (Online) 1530-8677 http://www3.interscience.wiley.com/journal/ 122525552/abstract?CRETRY=1&SRETRY=0
  18. M. Berekovic, N. Dimopoulos, and S. Wong (Eds.), “Application Server for Wireless Sensor Network”, SAMOS 2008, LNCS 5114, pp. 248-257, 2008.
  19. Philip Levis, Nelson Lee, Matt Welsh, and David Culler, “TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications”, In Proceedings of SenSys'03, First ACM Conference on Embedded Networked Sensor Systems, 2003.
  20. UC Berkeley TOSSIM website: www.cs.berkeley.edu/~pal/research/tossim.html
  21. Liqian Luo, Aman Kansal, Suman Nath, and Feng Zhao, “SenseWeb: Sharing and Browsing Environmental Changes in Real Time”, Microsoft, 9 December 2008.
  22. Santanche, A., Nath, S., Liu, J., Priyantha, B. and Zhao, F. (2006) SenseWeb: Browsing the physical world in real time. Demo Abstract, ACM/IEEE IPSN06, Nashville, TN
  23. I. Chatzigiannakis, G. Mylonas, S. Nikoletseas, “jWebDust : A java-based generic application environment for wireless sensor networks”, In Proceedings of the First International Conference on Distributed Computing in Sensor Systems (DCOSS '05), pp. 376-386, 2005.
  24. A. Rowe, M. Berges, G. Bhatia, E. Goldman, R. Rajkumar, L. Soibelman, J. Garrett, J.M.F. Moura, “Sensor Andrew: Large-Scale Campus-Wide Sensing and Actuation”, CMU-ECE-TR-08-11 (A Technical Report), Carnegie Mellon University, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks Data Visualization Tools Data Gathering Stream Data Motes