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SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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IEEE Transactions on Knowledge and Data Engineering
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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ICDE '02 Proceedings of the 18th International Conference on Data Engineering
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ICDE '02 Proceedings of the 18th International Conference on Data Engineering
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ICDE '02 Proceedings of the 18th International Conference on Data Engineering
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IEEE Transactions on Knowledge and Data Engineering
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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IEEE Transactions on Knowledge and Data Engineering
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VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
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DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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In this article, we address the problem of delayed query processing raised by tree-based index structures in wireless broadcast environments, which increases the access time of mobile clients. We propose a novel distributed index structure and a clustering strategy for streaming XML data that enables energy and latencyefficient broadcasting of XML data. We first define the DIX node structure to implement a fully distributed index structure which contains the tag name, attributes, and text content of an element, as well as its corresponding indices. By exploiting the index information in the DIX node stream, a mobile client can access the stream with shorter latency. We also suggest a method of clustering DIX nodes in the stream, which can further enhance the performance of query processing in the mobile clients. Through extensive experiments, we demonstrate that our approach is effective for wireless broadcasting of XML data and outperforms the previous methods.