Abstract
Target monitoring and event detection are very critical issues in wireless sensor networks. Sensor nodes forward the sensory data to the base station by relaying through intermediate nodes used as relays, from which users collect valuable information. The multi-criteria target monitoring is still important in wireless sensor network application scenarios. In order to support energy-efficient monitoring and simplify the complexity of dealing with heterogeneous sensor networks, in this paper, we propose a multi-criteria target monitoring strategy using MinMax operator in formed virtual sensor networks. The strategy builds a hierarchical structure by distributed clustering technique on the network before forming virtual sensor network to meet various monitoring requirements from different kinds of application deployment. Then, for the multi-criteria monitoring of virtual sensor networks framework, we present method of setting and updating hierarchical thresholds by using the MinMax operator. Finally, the simulation results demonstrate that the strategy can effectively reduce the energy consumption and increase the system lifetime.
This is a preview of subscription content, log in via an institution to check access.
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
Umer, M., Kulik, L., Tanin, E.: Optimizing Query Processing Using Selectivity-awareness in Wireless Sensor Networks. Computers, Environment and Urban Systems 33, 79–89 (2009)
Chen, H., Zhou, S., Guan, J.: Towards Energy-Efficient Skyline Monitoring in Wireless Sensor Networks. In: Langendoen, K.G., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, pp. 101–116. Springer, Heidelberg (2007)
Akkaya, K., Senel, F., McLaughlan, B.: Clustering of Wireless Sensor and Actor Networks Based on Sensor Distribution and Connectivity. J. Parallel Distrib. Comput. 69, 573–587 (2009)
Bandyopadhyay, S., Coyle, E.: An Energy-efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks. In: Proceedings of IEEE INFOCOM, pp. 1713–1723. IEEE Press, San Francisco (2003)
Min, X., ShiWei-ren, et al.: Energy Efficient Clustering Algorithm for Maximizing Lifetime of Wireless Sensor Networks. Int. J. Electron. Commun. 64, 289–298 (2010)
Chamam, A., Pierre, S.: A Distributed Energy-efficient Clustering Protocol for Wireless Sensor Networks. Computers and Electrical Engineering 36, 303–312 (2010)
Xu, H., Huang, L., et al.: Energy-efficient Cooperative Data Aggregation for Wireless Sensor Networks. J. Parallel Distrib. Comput. 70, 953–961 (2010)
Jayasumana, A.P., Han, Q.: Virtual Sensor Networks- A Resource Efficient Approach for Concurrent Applications. In: Proc. International Conference on Information Technology (ITNG 2007), pp. 111–115. IEEE Press, Las Vegas (2007)
Dilum Bandara, H.M.N., Jayasumana, A.P., et al.: Cluster Tree Based Self Organization of Virtual Sensor Networks. In: Globecom Workshops, pp. 1–6. IEEE Press, New Orleans (2008)
Tynan, R., O’Hare, G.M.P., et al.: Virtual Sensor Networks: An Embedded Agent Approach. In: 2008 International Symposium on Parallel and Distributed Processing with Applications, Sydney, pp. 926–932 (2008)
Lei, S., Xu, H., et al.: VIP Bridge: Integrating Several Sensor Networks into One Virtual Sensor Network. In: International Conference on Internet Surveillance and Protection, pp. 2–9. IEEE Press, Cote (2006)
Liu, M., Cao, J., et al.: EADEEG: An Energy-Aware Data Gathering Protocol for Wireless Sensor Networks. Journal of Software 18(5), 1092–1109 (2007) (in Chinese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Song, X., Wang, C., Wang, J. (2011). A Multi-criteria Target Monitoring Strategy Using MinMax Operator in Formed Virtual Sensor Networks. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21111-9_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-21111-9_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21110-2
Online ISBN: 978-3-642-21111-9
eBook Packages: Computer ScienceComputer Science (R0)