Abstract
The basic idea of popularity-based wireless broadcast is to broadcast data with most requests. However, client requests cannot always reflect their entire data requirements. It thereby leads to the inaccuracy of broadcast and the increased number of client requests. In this paper, we propose a correlation-based broadcast scheme, in which relationships among data are used as a reference in dealing with exclusion of unpopular data. In this broadcast scheme, data to be excluded are initially divided into two parts. The popularity of data in the second part is inferred by the actual popularity of data in the first part. This is possible if a causal relationship exists in their access patterns. The results from extensive simulation experiments conclude that the correlation-based broadcast scheme can significantly improve the mean response time and reduce the number of missing 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).
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Cai, K., Lin, H., Chen, C. (2005). Two-Phase Exclusion Based Broadcast Adaptation in Wireless Networks. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_92
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DOI: https://doi.org/10.1007/11563952_92
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