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Track 10: Mobile Computing

Performance Evaluation of Air Indexing Schemes for Multi-attribute Data Broadcast

Qing Gao1, 2 Contact Information, Shanping LiContact Information and Jianliang XuContact Information

(1)  College of Computer Science, Zhejiang University, Hangzhou, China
(2)  Hong Kong Baptist University, Kowloon Tong, Hong Kong
Abstract
In this paper, we study power conservation techniques for multi-attribute queries in a wireless data broadcast environment. Most existing indexing techniques are based on a centralized tree structure and thus are inefficient for sequential-access wireless broadcast media. To conserve energy for mobile devices while maintaining acceptable data access latency, we extend the exponential index for single-attribute queries to multi-attribute queries. By maintaining a distributed structure and making full use of indexing space, the exponential index can reduce the energy consumption considerably. We conduct experiments to evaluate the performance of the extended exponential index against the well-known distributed tree index. The results show that the exponential index achieves a better performance than the index tree method.
Shanping Li’s work was supported by National Nature Science Foundation of China (No. 60473052). Jianliang Xu’s work was partially supported by grants from the Research Grants Council of the Hong Kong SAR, China (Project Nos. HKBU 2115/05E, HKBU FRG/04-05/I-17, and HKBU FRG/04-05/II-26).

Contact Information Qing Gao
Email: qgao@comp.hkbu.edu.hk

Contact Information Shanping Li
Email: shan@cs.zju.edu.cn

Contact Information Jianliang Xu
Email: xujl@comp.hkbu.edu.hk
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