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Conference Paper An Adaptive Timeout Aggregation for Periodic Data Gathering in Wireless Sensor Networks
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Authors
Jang Woon Baek, Young Jin Nam, Seung Wan Jung, Dae Wha Seo
Issue Date
2009-12
Citation
International Conference on Ubiquitous Information Technologies and Applications (ICUT) 2009, pp.1-6
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUT.2009.5405706
Abstract
This paper proposes a novel timeout scheduling scheme for data aggergation in wireless sensor networks, which adaptively configures both the length of timeout and the collecting period according to the potential level of event occurrence. At normal times, the proposed scheme decreases the length of timeout that is a waiting time for messages from child nodes, and it makes longer the collecting period. That reduces the dissipated energy of the sensor node. Conversely, the proposed scheme increases the length of timeout and makes shorter the collecting period under event occurrences in order to fulfill more accurate data aggregation and early event detection. Extensive simulation work under various workloads has revealed that the proposed scheme enhances data accuracy and energy consumption by 15% and 25% respectively, as compared with the previous TAG data aggregation. Also, the proposed scheme detects the event occurrence six times earlier than the previous TAG and Cascading timeout aggregation. © 2009 IEEE.
KSP Keywords
Data gathering, Dissipated energy, Event detection, Periodic data, Scheduling Scheme, Sensor node, Waiting Time, Wireless sensor networks(WSNs), data accuracy, data aggregation, energy consumption