Track 10: Mobile Computing
Performance Evaluation of Air Indexing Schemes for Multi-attribute Data Broadcast
Qing Gao1, 2
, Shanping Li1
and Jianliang Xu2 
| (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).