Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
AIDA: Adaptive application-independent data aggregation in wireless sensor networks
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ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
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Wireless Communications & Mobile Computing - Special Issue: Emerging WLAN Apllications and Technologies
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IEEE/ACM Transactions on Networking (TON)
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IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Timing control for delay-constrained data aggregation in wireless sensor networks: Research Articles
International Journal of Communication Systems - Energy-Efficicent Network Protocols and Algorithms for Wireless Sensor Networks
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Asynchronous data aggregation for real-time monitoring in sensor networks
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Data-aggregation techniques in sensor networks: a survey
IEEE Communications Surveys & Tutorials
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IEEE Transactions on Wireless Communications
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In-network data aggregation is a cross-layer routing technique which is essential for wireless sensor networks with a large number of nodes. Although the technique enhances energy efficiency by reducing packet transmissions, it may require routing-layer waiting time which introduces additional delays in packet delivery. This implies that there exists an energy-delay tradeoff which can be controlled depending on the delay level an application can tolerate. In this work, we first perform an in-depth analysis of the data aggregation process and validate the strong relationship between the amount of currently accumulated data in a node and the data aggregation timeout to achieve energy efficiency with little delay overhead. Then, we propose a novel timeout control scheme which dynamically changes timeout according to the amount of currently accumulated data in a node. Our scheme is based on local information without involving control messages so that it is not only robust but also light-weight. Evaluation results based on an implementation of the wireless sensor network show that our scheme facilitates efficient tradeoff between energy and delay. Thus, high energy efficiency can be achieved with little overhead in delay, and vice versa.