Abstract
In the area of Ambient Intelligence, Wireless Sensor Networks are commonly used for user monitoring purposes like health monitoring and user localization. Existing work on visualization of wireless sensor networks focuses mainly on displaying individual nodes and logical, graph-based topologies. This way, the relation to the real-world deployment is lost. This paper presents a novel approach for visualization of wireless sensor networks and interaction with complex services on the nodes. The environment is realized as a 3D model, and multiple nodes, that are worn by a single individual, are grouped together to allow an intuitive interface for end users. We describe application examples and show that our approach allows easier access to network information and functionality by comparing it with existing solutions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Buschmann, C., Pfisterer, D., Fischer, S., Fekete, S.P., Kröller, A.: Spyglass: a wireless sensor network visualizer. SIGBED Rev. 2(1), 1–6 (2005)
Chung, W.Y., Lee, B.G., Yang, C.S.: 3d virtual viewer on mobile device for wireless sensor network-based rssi indoor tracking system. Sensors and Actuators B: Chemical 140(1), 35–42 (2009)
Fraboulet, A., Chelius, G., Fleury, E.: Worldsens: Development and prototyping tools for application specific wireless sensors networks, pp. 176–185 (April 2007)
Klingbeil, L., Wark, T.: Demonstration of a wireless sensor network for real-time indoor localisation and motion monitoring. In: International Conference on Information Processing in Sensor Networks, IPSN 2008, pp. 543–544 (2008)
Kockara, S., Dagtas, S.: Towards 3-dimensional and optimized design of wireless networks for smart environments. J. Comput. Small Coll. 21(5), 145–153 (2006)
Koo, B., Choi, H., Shon, T.: Wiva: Wsn monitoring framework based on 3d visualization and augmented reality in mobile devices. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds.) ICOST 2009. LNCS, vol. 5597, pp. 158–165. Springer, Heidelberg (2009)
Miyashita, M., Nesterenko, M., Shah, R., Vora, A.: Visualizing wireless sensor networks: An experience report. In: Yang, L.T., Arabnia, H.R., Wang, L.C. (eds.) ICWN, pp. 412–419. CSREA Press (2005)
Shu, L., Wu, C., Zhang, Y., Chen, J., Wang, L., Hauswirth, M.: Nettopo: beyond simulator and visualizer for wireless sensor networks. SIGBED Rev. 5(3), 1–8 (2008)
Yang, Y., Xia, P., Huang, L., Zhou, Q., Xu, Y., Li, X.: Snamp: A multi-sniffer and multi-view visualization platform for wireless sensor networks. In: 1st IEEE Conference on Industrial Electronics and Applications, 2006, pp. 1–4 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stocklöw, C., Kamieth, F. (2010). Semantic Visualization of Wireless Sensor Networks for Elderly Monitoring. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-16917-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16916-8
Online ISBN: 978-3-642-16917-5
eBook Packages: Computer ScienceComputer Science (R0)