Abstract
The communication traffic for continuous data aggregation and location update is the main reason of short-lived mobile sensor networks because the energy consumption of sensor nodes is caused by the transmission of messages. For effective communication traffic management in mobile sensor networks, this paper proposes an dynamic threshold control-based adaptive message filtering method which utilizes diverse node parameters reflecting characteristics of mobile nodes, such as mobility and battery availability. In the proposed filtering method, each sensor node in a sensor filed filters out messages based on its distance threshold. In order to adjust the distance threshold by the condition of each node adaptively and dynamically, fuzzy logic is applied to the proposed filtering method. Empirical results approve that the proposed filtering method achieves more improved performance than existing filtering methods.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless Sensor Networks: a Survey. Computer Networks 38(4), 393–422 (2002)
Culler, D., Estrin, D., Srivastava, M.: Guest Editors’ Introduction: Overview of Sensor Networks. IEEE Computer 37(8), 41–49 (2004)
Petriu, E.M., Whalen, T.E., Abielmona, R., Stewart, A.: Robotic Sensor Agents: a New Generation of Intelligent Agents for Complex Environment Monitoring. IEEE Instrumentation & Measurement Magazine 7(3), 46–51 (2004)
Wang, G., Cao, G., Porta, T.L., Zhang, W.: Sensor Relocation in Mobile Sensor Networks. In: 24th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 4, pp. 2302–2312. IEEE Press, USA (2005)
Lou, W., Wu, J.: On Reducing Broadcast Redundancy in Ad Hoc Wireless Networks. IEEE Transactions on Mobile Computing, IEEE Educational Activities Department 1(2), 111–122 (2002)
Rahimi, M., Shah, H., Sukhatme, G.S., Heideman, J., Estrin, D.: Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network. In: 2003 IEEE International Conference on Robotics and Automation, vol. 1, pp. 19–24. IEEE Press, Taipei, Taiwan (2003)
Deshpande, A., Guestrin, C., Madden, S.: Using Probabilistic Models for Data Management in Acquisitional Environments. In: 2nd Biennial Conference on Innovative Data Systems Research, CA, USA, pp. 317–328 (2005)
Deshpande, A., Guestrin, C., Madden, S., Hellerstein, J., Hong, W.: Model Driven Data Acquisition in Sensor Networks. In: 30th International Conference on Very Large Data Bases, Toronto, Canada, pp. 588–599 (2004)
Madden, S., Michael, J.F., Joseph, M.H., Wei, H.: Tag: a Tiny Aggregation Service for Ad-Hoc Sensor Networks. In: 5th symposium on operating systems design and implementation, Boston, MA, USA, pp. 131–146 (2002)
Gehrke, J., Madden, S.: Query Processing in Sensor Networks. IEEE Pervasive Computing 3(1), 46–55 (2004)
Hyun, D.J., Park, N.J., Son, J.H., Kim, M.H.: Efficient Processing of Aggregation Queries in Sensor Networks. Distributed and Parallel Databases archive 20(3), 171–197 (2006)
Ye, W., Heidemann, J., Estrin, D.: Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks. USC/ISI Technical Report ISI-TR-567 (2003)
Bowerman, B.L., O’Connell, R., Koehler, A.: Forecasting, Time Series, and Regression: an applied approach, 4th edn. Duxbury Press (2004)
Yen, J., Langari, R.: Fuzzy Logic – Intelligence, Control, and Information. Prentice-Hall, Englewood Cliffs (1999)
Bai, F., Helmy, A.: A Survey of Mobility Modeling and Analysis in Wireless Ad-Hoc Networks. In: Wireless Ad Hoc and Sensor Networks, Kluwer Academic Publishers, Dordrecht (2004)
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Jang, S.H., Ma, Y.B., Lee, J.S. (2009). Dynamic Threshold Control-Based Adaptive Message Filtering in Mobile Sensor Networks. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_63
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DOI: https://doi.org/10.1007/978-3-642-02454-2_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02453-5
Online ISBN: 978-3-642-02454-2
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