System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Adaptive filters for continuous queries over distributed data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Balancing energy efficiency and quality of aggregate data in sensor networks
The VLDB Journal — The International Journal on Very Large Data Bases
Adaptive sampling for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
A Spatiotemporal Query Service for Mobile Users in Sensor Networks
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
An efficient and resilient approach to filtering and disseminating streaming data
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Consistency-driven data quality management of networked sensor systems
Journal of Parallel and Distributed Computing
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In battery powered systems such as wireless sensor networks, energy eficiency is one of the most important system design goals. In this paper, energy eficiency is examined from the perspective of data consistency, which includes both temporal consistency and numerical consistency, and considers the application specific requirements of the data and data dynamics in the data field. We jrst formally dejne the energy-eficiency problem with the goal of delivering a minimum number of messages under the constraint of data consistency. Then, we give the formal dejnition of the data consistency. To achieve both consistency and energy e@ciency, we propose a data collection protocol named Alep, which adapts the data sampling rate to the data dynamics in the datajeld and keeps lazy when the data consistency is maintained. From the results of a comprehensive sirnulation we jnd that the proposed approach indeed reduces the number of delivered messages by more than 20%, and improves the accuracy of the sampled data.