Abstract
A key element in many mobile application systems is the realization of efficient data delivery from server to mobile clients. Although broadcast has been proved to be an efficient data dissemination technique, selection of broadcast data is still an active research area. In this paper, we mainly studied the functions of the implicit regularities attached to clients’ request data in the selection of broadcast data. Furthermore, we put forward a correlation-based broadcast model, which selects broadcast data items according to data access frequencies as well as their correlations. The primary rationale underneath is the fact that some data are prone to be accessed if certain data are reached. The results from extensive simulation experiments shows that the correlation-based broadcast can significantly improve the mean response time and reduce the number of client requests.
Supported by the Natural Science Foundation of Zhejiang Province, China (Grant no. M603230) and the Research Fund for Doctoral Program of Higher Education from Ministry of Education, China (Grant no. 20020335020).
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Xu, J., Lee, D.L., Hu, Q., Lee, W.-C.: Data Broadcast. In: Stojmenovic, I. (ed.) Handbook of Wireless Networks and Mobile Computing, vol. 11, pp. 243–265. John Wiley & Sons, New York (2002) ISBN 0-471-41902-8
Acharya, S., Franklin, M., Zdonik, S.: Dissemintanig Updates on Broadcast Disks. In: Proceedings of 22nd VLDB Conference, India (1996)
Datta, A., Celik, A., Kim, J., VanderMeer, D.E.: Adaptive Broadcast Protocol to Support Power Conservant Retrieval by Mobile Users. In: Proceedings of 13th International Conference on Data Engineering (1997)
Leong, H.V., Si, A.: Database Caching over the Air-Storage. The Computer Journal 40 (7), 401–415 (1997)
Stathatos, K., Roujssopoulos, N., Baras, J.S.: Adaptive data broadcast in hybrid networks. In: VLDB Conference, vol. 326, pp. 326–335 (1997)
Datta, A., Celik, J., Kim, D., VanderMeer, D., Kumar, V.: Adaptive Broadcast Protocols to Support Efficient and Energy Conserving Retrieval from Databases in Mobile Computing Environments. In: Proc. of the 13th International Conference on Data Engineering, pp. 124–134 (April 1997)
Acharya, S., Alonso, R., Franklin, M., Zdonik, M.: Disseminationbased Data Delivery Using Broadcast Disks. IEEE Personal Communications Magazine 2(6) (1995)
Yan, T.W., Garcia-Molina, H.: Distributed Selective Dissemination of Information. In: Proceedings of the Third International Conference on Parallel and Distributed Information Systems (PDIS 1994), Austin, Texas, vol. 98, pp. 89–98 (September 1994)
Shek, E.C., Dao, S., Zhang, Y., van Buer, D.J.: Dynamic Multicast Information Dissemination in Hybrid Satellite-Wireless Networks. In: Shek, E.C., Dao, S., Zhang, Y., van. Buer, D.J. (eds.) MobiDE, pp. 30–35 (1999)
Aksoy, D., Franklin, M.J., Zdonik, S.B.: Data Staging for On-Demand Broadcast. In: Aksoy, D., Franklin, M.J., Zdonik, S.B. (eds.) VLDB, pp. 571–580 (2001)
Wong, J.W.: Broadcast delivery. Proceedings of the IEEE 76(12), 1566–1577 (1988)
Acharya, S., Franklin, M., Zdonik, S.: Balancing push and pull for data broadcast. In: Proc. ACM SIGMOD Conference, pp. 183–194 (1997)
Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: Buneman, P., Jajodia, S. (eds.) Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, D.C. pp. 207–216 (1993)
Saygin, Y., Ulusoy, O.: Exploiting Data Mining Techniques for Broadcasting Data in Mobile Computing Environments. IEEE Transactions on Knowledge and Data Engineering 14(6) (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cai, K., Lin, H., Chen, C. (2005). Correlation-Based Data Broadcasting in Wireless Networks. In: Jackson, M., Nelson, D., Stirk, S. (eds) Database: Enterprise, Skills and Innovation. BNCOD 2005. Lecture Notes in Computer Science, vol 3567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11511854_9
Download citation
DOI: https://doi.org/10.1007/11511854_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26973-1
Online ISBN: 978-3-540-31677-0
eBook Packages: Computer ScienceComputer Science (R0)