Continuous Approximate Window Queries in Wireless Sensor Networks

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Wireless sensor networks are demonstrating the valuable potential in a variety of settings, e.g. data analysis and statistics. How to minimize energy consumption and prolong network lifetime become one of the key challenges. In this paper, we propose a continuous approximate window query technique called CWQ to approximately collect data in a specified region in a wireless sensor network. CWQ clusters sensors in the network into several clusters, in which sensors have similar readings. We study how to discover a minimal path to concatenate clusters under non-failure as well as failure cases. Our experiments show that CWQ can provide significant communication (and hence energy) savings.

Supported by the 973 Program under Grant No. 2006CB303103, the Natural Science Foundation of China under Grant Nos.60503036, 60473074, 60573089, and the Fok Ying Tong Education Foundation of China under Grant No. 104027.