Abstract
Sensor networks are expected to be used for spatial cognition in harsh environments. When an event happens, there will be several sensors detect it and send their reports to a sink, but these data are neither integrated nor reliable. Therefore, it is reasonable to make use of data mining on intermediate nodes to acquire deeper knowledge on an event and cut down the total traffic at the same time. Furthermore, the QoS requests should be considered too. In this paper, we propose a centralized algorithm to achieve optimal traffic management on sensor networks with considering QoS and data fusion. Its efficiency is shown by experiments.
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
Chang, J.-H., Tassiulas, L.: Energy conserving routing in wireless ad-hoc networks. In: IEEE INFOCOM 2000 (2000)
Singh, S., Woo, M., Raghavendra, C.S.: Power-aware routing in mobile ad hoc networks. In: Proceedings of Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking, Dallas, TX (October 1998)
Bhardwaj, M., Chandrakasan, A.: Bounding the Lifetime of Sensor Networks Via Optimal Role Assignments. In: IEEE INFOCOM 2002 (2002)
Duarte-Melo, E.J., Liu, M., Misra, A.: A Modeling Framework for Computing Lifetime and Information Capacity in Wireless Sensor Networks. In: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, March 2004, Cambridge, UK (2004)
Rai, V., Mahapatra, R.N.: Lifetime Modeling of a Sensor Network. Design, Automation and Test in Europe, Munich, Germany (March 2005)
Chang, J.-H., Tassiulas, L.: Routing for Maximum System Lifetime in Wireless Ad-hoc Networks. In: 37th Annual Allerton Conference on Communication, Control, and Computing, September 1999, Monticello, IL (1999)
Dasgupta, K., Kalpakis, K., Namjoshi, P.: Efficient Algorithms for Maximum Lifetime Data Gathering and Aggregation in Wireless Sensor Networks. Computer Networks 42 (2003)
Madan, R., Lall, S.: Distributed Algorithms for Maximum Lifetime Routing in Wireless Sensor Networks. In: Global Telecommunications Conference, November 2004, vol. 2, IEEE, Los Alamitos (2004)
Xue, Y., Cui, Y., Nahrstedt, K.: Maximizing Lifetime for Data Aggregation in Wireless Sensor Networks, http://cairo.cs.uiuc.edu/publications/paper-files/xue-monet.pdf
Estrin, D., Srivastava, M.: Wireless Sensor Networks (Tutorial). In: Proceedings of ACM MobiCom 2002, Atlanta, Georgia, USA (2002)
Garcia-Luna-Aceves, J.J., Fullmer, C.L., Madruga, E.: Wireless mobile internetworking (manuscript)
Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., Anderson, J.: Wireless Sensor Networks for Habitat Monitoring. In: ACM International Workshop on Wireless Sensor Networks and Applications (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pan, Y., Peng, W., Lu, X. (2006). Traffic Management Genetic Algorithm Supporting Data Mining and QoS in Sensor Networks. In: Li, X., Zaïane, O.R., Li, Z. (eds) Advanced Data Mining and Applications. ADMA 2006. Lecture Notes in Computer Science(), vol 4093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811305_108
Download citation
DOI: https://doi.org/10.1007/11811305_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37025-3
Online ISBN: 978-3-540-37026-0
eBook Packages: Computer ScienceComputer Science (R0)