Top-k Monitoring in Wireless Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
Effective hotspot storage management schemes in wireless sensor networks
Computer Communications
PEJA: progressive energy-efficient join processing for sensor networks
Journal of Computer Science and Technology
Wireless Personal Communications: An International Journal
Distributed adaptive top-k monitoring in wireless sensor networks
Journal of Systems and Software
A power-saving data storage scheme for wireless sensor networks
Journal of Network and Computer Applications
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A lot of research efforts have been devoted to improving energy efficiency for wireless sensor networks by exploring distributed data storage and in-network query processing techniques. In this paper, we present a generic two-tier data storage strategy for answering precision-constrained approximate queries in a sensor network. The basic idea is to keep two versions of data in the network. A highprecision version is kept at the sensor node that captures the data while a low-precision version is maintained at the base station. We develop query processing and node refreshment strategies for various types of approximate queries under the two-tier storage. Our extensive experiments show that the two-tier storage strategy outperforms the basic centralized storage scheme by an order of magnitude in terms of network lifetime under various system configur