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

• 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.
• 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.
• 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.
• MSR Sense - MSR Networked Embedded Sensing Toolkit http://research.microsoft.com/nec/msrsense/, March 2006.
• Mark Miyashita, Mikhail Nesterenko, Romil D. Shah and Adnan Vora, “Visualizing Wireless Sensor Networks: Experience Report”, International Conference on Wireless Networks 2005.
• 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
• Crossbow Technology Inc., “Mica2Mote,” http://www.xbow.com.
• 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.
• 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.
• 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.
• Start Guide of Tmote nodes http://www.moteiv.com/products/docs/tmotesky-quickstart.pdf
• Webpage of Moteiv Corporation: http://www.sentilla.com/
• 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
• 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.
• 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)
• 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.
• 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
• M. Berekovic, N. Dimopoulos, and S. Wong (Eds.), “Application Server for Wireless Sensor Network”, SAMOS 2008, LNCS 5114, pp. 248-257, 2008.
• 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.
• UC Berkeley TOSSIM website: www.cs.berkeley.edu/~pal/research/tossim.html
• Liqian Luo, Aman Kansal, Suman Nath, and Feng Zhao, “SenseWeb: Sharing and Browsing Environmental Changes in Real Time”, Microsoft, 9 December 2008.
• 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
• 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.
• 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.