Abstract
In recent years, wireless sensor networks are widely used in many areas. Collecting information efficiently and deliver to base station reliably among the hot topics in wireless sensor networks. Most of the previous studies used the Geographic routing to resolve this problem. Sensors have to know not only their location information, but also one hop neighbor and destination location information. Generally, the Global Positioning System (GPS) provides location and time information, but it will increase the cost, power consumption, and reduce the lifetime of wireless sensor network. In this paper, we propose a Virtual Coordinate System (VCS). With the VCS, WSNs can find the four extreme nodes in the scene as virtual anchor nodes. Then, a shortest path between virtual anchor nodes and sink for transfer data in the random distribution network is created. In this approach, establish a low-power, extend the network lifetime, efficient and fault-tolerant routing mechanism.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks 38, 393–422 (2002)
Liu, P., Zhang, X., Tian, S., Zhao, Z., Sun, P.: A Novel Virtual Anchor Node-Based Localization Algorithm for Wireless Sensor Networks. In: Proceedings of the Sixth International Conference on Networking, p. 9 (2007)
Fucai, Y., Younghwan, C., Sang-Ha, K., Euisin, L.: Anchor Node Based Sink Location Dissemination Scheme for Geographic Routing. In: Proceedings of IEEE Vehicular Technology Conference, VTC 2008, pp. 2451–2455 (2008)
Fucai, Y., Younghwan, C., Soochang, P., Euisin, L., Ye, T., Minsuk, J., Sang-Ha, K.: Anchor Node Based Virtual Modeling of Holes in Wireless Sensor Networks. In: Proceedings of IEEE International Conference on Communications, ICC 2008, pp. 3120–3124 (May 2008)
Shankarananda, B.M., Saxena, A.: Energy efficient localized routing algorithm for Wireless Sensor Networks. In: Proceedings of 3rd International Conference on Electronics Computer Technology, ICECT 2011, pp. 72–75 (April 2011)
Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, Boston, Massachusetts, United States, pp. 56–67 (2000)
Dressler, F., Awad, A., Gerla, M.: Inter-Domain Routing and Data Replication in Virtual Coordinate Based Networks. In: Proceedings of IEEE International Conference on Communications, ICC 2010, pp. 1–5 (May 2010)
Yaling, T., Yongbing, Z.: Hierarchical flow balancing protocol for data aggregation in wireless sensor networks. In: Proceedings of Computing, Communications and Applications Conference, January 11-13, pp. 7–12 (2012)
Kuo, T.-W., Tsai, M.-J.: On the construction of data aggregation tree with minimum energy cost in wireless sensor networks: NP-completeness and approximation algorithms. In: Proceedings of 31th Annual IEEE International Conference on Computer Communications, INFOCOM 2012, pp. 2591–2595 (March 2012)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1, 660–670 (2002)
Luo, H., Ye, F., Cheng, J., Lu, S., Zhang, L.: TTDD: two-tier data dissemination in large-scale wireless sensor networks. Wirel. Netw. 11, 161–175 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tsai, CH., Chang, KT., Tsai, CH., Wang, YH. (2013). A Routing Mechanism Using Virtual Coordination Anchor Node Apply to Wireless Sensor Networks. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_58
Download citation
DOI: https://doi.org/10.1007/978-3-642-38027-3_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38026-6
Online ISBN: 978-3-642-38027-3
eBook Packages: Computer ScienceComputer Science (R0)