Adaptive Sensor Management Based on Spatial Correlation in Wireless Sensor Networks
Summary :
This paper addresses the problem of sensor selection in wireless sensor networks (WSN) subject to a distortion constraint. To do so, first, a cost function is derived based on the spatial correlation obtained using the best estimation of the event source. Then, a new adaptive algorithm is proposed in which the number of active sensors is adaptively determined and the best topology of the active set is selected based on the add-one-sensor-node-at-a-time method. Simulations results show that the active sensors selected using the proposed cost function have less event distortion. Also, it is shown that the proposed sensor selection algorithm is near optimum and it has better performance than other algorithms with regard to the computational burden and distortion.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.6 pp.1598-1605
- Publication Date
- 2011/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.1598
- Type of Manuscript
- Special Section PAPER (Special Section on New Generation Mobile and Sensor Networking and Future Networks)
- Category
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Mohammad Reza ZOGHI, Mohammad Hossein KAHAEI, "Adaptive Sensor Management Based on Spatial Correlation in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 6, pp. 1598-1605, June 2011, doi: 10.1587/transcom.E94.B.1598.
Abstract: This paper addresses the problem of sensor selection in wireless sensor networks (WSN) subject to a distortion constraint. To do so, first, a cost function is derived based on the spatial correlation obtained using the best estimation of the event source. Then, a new adaptive algorithm is proposed in which the number of active sensors is adaptively determined and the best topology of the active set is selected based on the add-one-sensor-node-at-a-time method. Simulations results show that the active sensors selected using the proposed cost function have less event distortion. Also, it is shown that the proposed sensor selection algorithm is near optimum and it has better performance than other algorithms with regard to the computational burden and distortion.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1598/_p
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@ARTICLE{e94-b_6_1598,
author={Mohammad Reza ZOGHI, Mohammad Hossein KAHAEI, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Sensor Management Based on Spatial Correlation in Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={6},
pages={1598-1605},
abstract={This paper addresses the problem of sensor selection in wireless sensor networks (WSN) subject to a distortion constraint. To do so, first, a cost function is derived based on the spatial correlation obtained using the best estimation of the event source. Then, a new adaptive algorithm is proposed in which the number of active sensors is adaptively determined and the best topology of the active set is selected based on the add-one-sensor-node-at-a-time method. Simulations results show that the active sensors selected using the proposed cost function have less event distortion. Also, it is shown that the proposed sensor selection algorithm is near optimum and it has better performance than other algorithms with regard to the computational burden and distortion.},
keywords={},
doi={10.1587/transcom.E94.B.1598},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Adaptive Sensor Management Based on Spatial Correlation in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1598
EP - 1605
AU - Mohammad Reza ZOGHI
AU - Mohammad Hossein KAHAEI
PY - 2011
DO - 10.1587/transcom.E94.B.1598
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2011
AB - This paper addresses the problem of sensor selection in wireless sensor networks (WSN) subject to a distortion constraint. To do so, first, a cost function is derived based on the spatial correlation obtained using the best estimation of the event source. Then, a new adaptive algorithm is proposed in which the number of active sensors is adaptively determined and the best topology of the active set is selected based on the add-one-sensor-node-at-a-time method. Simulations results show that the active sensors selected using the proposed cost function have less event distortion. Also, it is shown that the proposed sensor selection algorithm is near optimum and it has better performance than other algorithms with regard to the computational burden and distortion.
ER -
English
