Two-phase exclusion based broadcast adaptation in wireless networks

Authors:
Keke Cai;Huaizhong Lin;Chun Chen
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

Citing 7
Cited 0

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data broadcast

Handbook of wireless networks and mobile computing
Adaptive Broadcast Protocols to Support Power Conservant Retrieval by Mobile Users

ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Data Staging for On-Demand Broadcast

Proceedings of the 27th International Conference on Very Large Data Bases
Disseminating Updates on Broadcast Disks

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Adaptive Data Broadcast in Hybrid Networks

VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Correlation-based data broadcasting in wireless networks

BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation

Quantified Score

Hi-index	0.00

Visualization

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.