Continuous approximate window queries in wireless sensor networks

Authors:
Bin Wang;Xiaochun Yang;Guoren Wang;Ge Yu
Affiliations:
School of Information Science and Engineering, Northeastern University, China;School of Information Science and Engineering, Northeastern University, China;School of Information Science and Engineering, Northeastern University, China;School of Information Science and Engineering, Northeastern University, China
Venue:
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Year:
2007

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Abstract

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.