Forest Fire Monitoring with an Adaptive In-Network Aggregation Scheduling in Wireless Sensor Networks
Summary :
In this paper, we propose a novel in-network aggregation scheduling scheme for forest fire monitoring in a wireless sensor network. This adaptively configures both the timeout and the collecting period according to the potential level of a fire occurrence. At normal times, the proposed scheme decreases a timeout that is a wait time for packets sent from child nodes and makes the collecting period longer. That reduces the dissipated energy of the sensor node. Conversely, the proposed scheme increases the timeout and makes the collecting period shorter during fire occurrences in order to achieve more accurate data aggregation and early fire detection.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.8 pp.2650-2653
- Publication Date
- 2012/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.2650
- Type of Manuscript
- LETTER
- Category
- Network
Authors
Keyword
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Jang Woon BAEK, Young Jin NAM, Dae-Wha SEO, "Forest Fire Monitoring with an Adaptive In-Network Aggregation Scheduling in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 8, pp. 2650-2653, August 2012, doi: 10.1587/transcom.E95.B.2650.
Abstract: In this paper, we propose a novel in-network aggregation scheduling scheme for forest fire monitoring in a wireless sensor network. This adaptively configures both the timeout and the collecting period according to the potential level of a fire occurrence. At normal times, the proposed scheme decreases a timeout that is a wait time for packets sent from child nodes and makes the collecting period longer. That reduces the dissipated energy of the sensor node. Conversely, the proposed scheme increases the timeout and makes the collecting period shorter during fire occurrences in order to achieve more accurate data aggregation and early fire detection.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2650/_p
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@ARTICLE{e95-b_8_2650,
author={Jang Woon BAEK, Young Jin NAM, Dae-Wha SEO, },
journal={IEICE TRANSACTIONS on Communications},
title={Forest Fire Monitoring with an Adaptive In-Network Aggregation Scheduling in Wireless Sensor Networks},
year={2012},
volume={E95-B},
number={8},
pages={2650-2653},
abstract={In this paper, we propose a novel in-network aggregation scheduling scheme for forest fire monitoring in a wireless sensor network. This adaptively configures both the timeout and the collecting period according to the potential level of a fire occurrence. At normal times, the proposed scheme decreases a timeout that is a wait time for packets sent from child nodes and makes the collecting period longer. That reduces the dissipated energy of the sensor node. Conversely, the proposed scheme increases the timeout and makes the collecting period shorter during fire occurrences in order to achieve more accurate data aggregation and early fire detection.},
keywords={},
doi={10.1587/transcom.E95.B.2650},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Forest Fire Monitoring with an Adaptive In-Network Aggregation Scheduling in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2650
EP - 2653
AU - Jang Woon BAEK
AU - Young Jin NAM
AU - Dae-Wha SEO
PY - 2012
DO - 10.1587/transcom.E95.B.2650
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2012
AB - In this paper, we propose a novel in-network aggregation scheduling scheme for forest fire monitoring in a wireless sensor network. This adaptively configures both the timeout and the collecting period according to the potential level of a fire occurrence. At normal times, the proposed scheme decreases a timeout that is a wait time for packets sent from child nodes and makes the collecting period longer. That reduces the dissipated energy of the sensor node. Conversely, the proposed scheme increases the timeout and makes the collecting period shorter during fire occurrences in order to achieve more accurate data aggregation and early fire detection.
ER -
English
