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Design methods for wireless sensor network building energy monitoring systems

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Design methods for wireless sensor network building energy monitoring systems. / Cho, Inkeun; Shen, Chung Ching; Potbhare, Siddharth; Bhattacharyya, Shuvra S.; Goldsman, Neil.

Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011. 2011. s. 974-981 6115580.

Tutkimustuotosvertaisarvioitu

Harvard

Cho, I, Shen, CC, Potbhare, S, Bhattacharyya, SS & Goldsman, N 2011, Design methods for wireless sensor network building energy monitoring systems. julkaisussa Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011., 6115580, Sivut 974-981, Bonn, Saksa, 4/10/11. https://doi.org/10.1109/LCN.2011.6115580

APA

Cho, I., Shen, C. C., Potbhare, S., Bhattacharyya, S. S., & Goldsman, N. (2011). Design methods for wireless sensor network building energy monitoring systems. teoksessa Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011 (Sivut 974-981). [6115580] https://doi.org/10.1109/LCN.2011.6115580

Vancouver

Cho I, Shen CC, Potbhare S, Bhattacharyya SS, Goldsman N. Design methods for wireless sensor network building energy monitoring systems. julkaisussa Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011. 2011. s. 974-981. 6115580 https://doi.org/10.1109/LCN.2011.6115580

Author

Cho, Inkeun ; Shen, Chung Ching ; Potbhare, Siddharth ; Bhattacharyya, Shuvra S. ; Goldsman, Neil. / Design methods for wireless sensor network building energy monitoring systems. Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011. 2011. Sivut 974-981

Bibtex - Lataa

@inproceedings{ffd56b04baa4448bb7d8f1d37112f122,
title = "Design methods for wireless sensor network building energy monitoring systems",
abstract = "In this paper, we present a new energy analysis method for evaluating energy consumption of embedded sensor nodes at the application level and the network level. Then we apply the proposed energy analysis method to develop new energy management schemes in order to maximize lifetime for Wireless Sensor Network Building Energy Monitoring Systems (WSNBEMS). At the application level, we develop a new design approach that uses dataflow techniques to model the application-level interfacing behavior between the processor and sensors on an embedded sensor node. At the network level, we analyze the energy consumption of the IEEE 802.15.4 MAC functionality. Based on our techniques for modeling and energy analysis, we have implemented an optimized WSNBEMS for a real building, and validated our energy analysis techniques through measurements on this implementation. The performance of our implementation is also evaluated in terms of monitoring accuracy and energy consumption savings. We have demonstrated that by applying the proposed scheme, system lifetime can be improved significantly without affecting monitoring accuracy.",
author = "Inkeun Cho and Shen, {Chung Ching} and Siddharth Potbhare and Bhattacharyya, {Shuvra S.} and Neil Goldsman",
year = "2011",
doi = "10.1109/LCN.2011.6115580",
language = "English",
isbn = "9781612849287",
pages = "974--981",
booktitle = "Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Design methods for wireless sensor network building energy monitoring systems

AU - Cho, Inkeun

AU - Shen, Chung Ching

AU - Potbhare, Siddharth

AU - Bhattacharyya, Shuvra S.

AU - Goldsman, Neil

PY - 2011

Y1 - 2011

N2 - In this paper, we present a new energy analysis method for evaluating energy consumption of embedded sensor nodes at the application level and the network level. Then we apply the proposed energy analysis method to develop new energy management schemes in order to maximize lifetime for Wireless Sensor Network Building Energy Monitoring Systems (WSNBEMS). At the application level, we develop a new design approach that uses dataflow techniques to model the application-level interfacing behavior between the processor and sensors on an embedded sensor node. At the network level, we analyze the energy consumption of the IEEE 802.15.4 MAC functionality. Based on our techniques for modeling and energy analysis, we have implemented an optimized WSNBEMS for a real building, and validated our energy analysis techniques through measurements on this implementation. The performance of our implementation is also evaluated in terms of monitoring accuracy and energy consumption savings. We have demonstrated that by applying the proposed scheme, system lifetime can be improved significantly without affecting monitoring accuracy.

AB - In this paper, we present a new energy analysis method for evaluating energy consumption of embedded sensor nodes at the application level and the network level. Then we apply the proposed energy analysis method to develop new energy management schemes in order to maximize lifetime for Wireless Sensor Network Building Energy Monitoring Systems (WSNBEMS). At the application level, we develop a new design approach that uses dataflow techniques to model the application-level interfacing behavior between the processor and sensors on an embedded sensor node. At the network level, we analyze the energy consumption of the IEEE 802.15.4 MAC functionality. Based on our techniques for modeling and energy analysis, we have implemented an optimized WSNBEMS for a real building, and validated our energy analysis techniques through measurements on this implementation. The performance of our implementation is also evaluated in terms of monitoring accuracy and energy consumption savings. We have demonstrated that by applying the proposed scheme, system lifetime can be improved significantly without affecting monitoring accuracy.

UR - http://www.scopus.com/inward/record.url?scp=84856182334&partnerID=8YFLogxK

U2 - 10.1109/LCN.2011.6115580

DO - 10.1109/LCN.2011.6115580

M3 - Conference contribution

SN - 9781612849287

SP - 974

EP - 981

BT - Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011

ER -