Proactive Data Filtering Algorithm for Aggregation in Wireless Sensor Networks
Summary :
In this paper, proactive data filtering (PDF) algorithm is proposed for data aggregation (or data fusion) in wireless sensor networks. The objective of the algorithm is to further reduce the energy consumption when sensor nodes perform data aggregation. In many applications, the sensor field will be overwhelmed by unnecessary and redundant sensory information when the sink node disseminates a query throughout the sensor field. In order to reduce the energy consumption, our scheme employs intelligent decision logic in the sensor node which delays or deactivates the transmission of its response. A performance evaluation shows that data aggregation with the PDF significantly improves energy-efficiency.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.3 pp.742-749
- Publication Date
- 2008/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.3.742
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Sungrae CHO, "Proactive Data Filtering Algorithm for Aggregation in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 3, pp. 742-749, March 2008, doi: 10.1093/ietcom/e91-b.3.742.
Abstract: In this paper, proactive data filtering (PDF) algorithm is proposed for data aggregation (or data fusion) in wireless sensor networks. The objective of the algorithm is to further reduce the energy consumption when sensor nodes perform data aggregation. In many applications, the sensor field will be overwhelmed by unnecessary and redundant sensory information when the sink node disseminates a query throughout the sensor field. In order to reduce the energy consumption, our scheme employs intelligent decision logic in the sensor node which delays or deactivates the transmission of its response. A performance evaluation shows that data aggregation with the PDF significantly improves energy-efficiency.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.3.742/_p
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@ARTICLE{e91-b_3_742,
author={Sungrae CHO, },
journal={IEICE TRANSACTIONS on Communications},
title={Proactive Data Filtering Algorithm for Aggregation in Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={3},
pages={742-749},
abstract={In this paper, proactive data filtering (PDF) algorithm is proposed for data aggregation (or data fusion) in wireless sensor networks. The objective of the algorithm is to further reduce the energy consumption when sensor nodes perform data aggregation. In many applications, the sensor field will be overwhelmed by unnecessary and redundant sensory information when the sink node disseminates a query throughout the sensor field. In order to reduce the energy consumption, our scheme employs intelligent decision logic in the sensor node which delays or deactivates the transmission of its response. A performance evaluation shows that data aggregation with the PDF significantly improves energy-efficiency.},
keywords={},
doi={10.1093/ietcom/e91-b.3.742},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Proactive Data Filtering Algorithm for Aggregation in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 742
EP - 749
AU - Sungrae CHO
PY - 2008
DO - 10.1093/ietcom/e91-b.3.742
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2008
AB - In this paper, proactive data filtering (PDF) algorithm is proposed for data aggregation (or data fusion) in wireless sensor networks. The objective of the algorithm is to further reduce the energy consumption when sensor nodes perform data aggregation. In many applications, the sensor field will be overwhelmed by unnecessary and redundant sensory information when the sink node disseminates a query throughout the sensor field. In order to reduce the energy consumption, our scheme employs intelligent decision logic in the sensor node which delays or deactivates the transmission of its response. A performance evaluation shows that data aggregation with the PDF significantly improves energy-efficiency.
ER -
English
