Abstract
Since sensors have a limited power supply, energy-efficient processing of queries over the network is an important issue. As data filtering is an important approach to reduce energy consumption, interest is used to be a constraint to filter uninterested data when users query data from sensor networks. Within these interested data, some of them are more important because they may have more valuable information than that of the others. We use ‘Reward’ to denote the importance level of data. Among the interested data, we hope to query the most important data first. In this paper, we propose a novel query model ETRI-QM and a new algorithm ETRI-PF (packet filter) dynamically combines the four constraints: Energy, Time, Reward and Interest. Based on our simulation results, we find out that our ETRI-QM together with ETRI-PF algorithm can improve the quality of the information queried and also reduce the energy consumption.
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References
Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: MobiCOM, Boston, MA (August 2000)
Lu, C., Blum, B.M., Abdelzaher, T.F., Stankovic, J.A., He, T.: RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks. In: IEEE RTAS (2002)
Madden, S., Franklin, M.J.: Fjording the stream: An architechture for queries over streaming sensor data. In: ICDE (2002)
Rusu, C., Melhem, R., Mosse, D.: Maximizing Rewards for Real-Time Applications with Energy Constraints. ACM TECS 2(4) (2003)
Rusu, C., Melhem, R., Mosse, D.: Multi-version Scheduling in Rechargeable Energy-aware Real-time Systems. To appear in Journal of Embedded Computing (2004)
Madden, S., Franklin, M.J., Hellerstein, J.M., Hong, W.: TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks. In: OSDI (2002) (to appear)
Bonnet, P., Gehrke, J., Seshadri, P.: Towards sensor database systems. In: Conference on Mobile Data Management (January 2001)
Shen, C.-C., Srisathapornphat, C., Jaikaeo, C.: Sensor information networking architecture and applications. IEEE Personal Communications 8(4), 52–59 (2001)
Wolfson, O., Sistla, A.P., Xu, B., Zhou, J., Chamberlain, S.: DOMINO: Databases for MovINg Objects tracking. In: ACM SIGMOD, Philadelphia, PA (June 1999)
Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: The Design of an Acquisitional Query Processor for Sensor Networks. In: SIGMOD, San Diego, CA (June 2003)
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© 2005 Springer-Verlag Berlin Heidelberg
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Yang, J., Shu, L., Wu, X., Cho, J., Lee, S., Han, S. (2005). ETRI-QM: Reward Oriented Query Model for Wireless Sensor Networks. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds) Embedded and Ubiquitous Computing – EUC 2005. EUC 2005. Lecture Notes in Computer Science, vol 3824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596356_60
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DOI: https://doi.org/10.1007/11596356_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30807-2
Online ISBN: 978-3-540-32295-5
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