IEICE TRANSACTIONS on Communications
DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks
Summary :
The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.11 pp.3648-3656
- Publication Date
- 2008/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.11.3648
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Jung-Hwan KIM, Kee-Bum KIM, Sajjad Hussain CHAUHDARY, Wencheng YANG, Myong-Soon PARK, "DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3648-3656, November 2008, doi: 10.1093/ietcom/e91-b.11.3648.
Abstract: The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3648/_p
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@ARTICLE{e91-b_11_3648,
author={Jung-Hwan KIM, Kee-Bum KIM, Sajjad Hussain CHAUHDARY, Wencheng YANG, Myong-Soon PARK, },
journal={IEICE TRANSACTIONS on Communications},
title={DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={11},
pages={3648-3656},
abstract={The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3648},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - DEMOCO: Energy-Efficient Detection and Monitoring for Continuous Objects in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3648
EP - 3656
AU - Jung-Hwan KIM
AU - Kee-Bum KIM
AU - Sajjad Hussain CHAUHDARY
AU - Wencheng YANG
AU - Myong-Soon PARK
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3648
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - The proliferation of research on target detection and tracking in wireless sensor networks has kindled development of monitoring continuous objects such as fires and hazardous bio-chemical material diffusion. In this paper, we propose an energy-efficient algorithm that monitors a moving event region by selecting only a subset of nodes near object boundaries. The paper also shows that we can effectively reduce report message size. It is verified with performance analysis and simulation results that total average report message size as well as the number of nodes which transmit the report messages to the sink can be greatly reduced, especially when the density of nodes over the network field is high.
ER -
English
