IEICE TRANSACTIONS on Communications
A Traffic Reduction Method for Centralized RSSI-Based Location Estimation in Wireless Sensor Networks
Summary :
In a centralized localization scenario, the limited throughput of the central node constrains the possible number of target node locations that can be estimated simultaneously. To overcome this limitation, we propose a method which effectively decreases the traffic load associated with target node localization, and therefore increases the possible number of target node locations that can estimated simultaneously in a localization system based on received signal strength indicator (RSSI) and maximum likelihood estimation. Our proposed method utilizes a threshold which limits the amount of forwarded RSSI data to the central node. As the threshold is crucial to the method, we further propose a method to theoretically determine its value. We experimentally verified the proposed method in various environments and the experimental results revealed that the method can reduce the load by 32-64% without significantly affecting the estimation accuracy.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.6 pp.1842-1851
- Publication Date
- 2008/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.6.1842
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Radim ZEMEK, Shinsuke HARA, Kentaro YANAGIHARA, Ken-ichi KITAYAMA, "A Traffic Reduction Method for Centralized RSSI-Based Location Estimation in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 6, pp. 1842-1851, June 2008, doi: 10.1093/ietcom/e91-b.6.1842.
Abstract: In a centralized localization scenario, the limited throughput of the central node constrains the possible number of target node locations that can be estimated simultaneously. To overcome this limitation, we propose a method which effectively decreases the traffic load associated with target node localization, and therefore increases the possible number of target node locations that can estimated simultaneously in a localization system based on received signal strength indicator (RSSI) and maximum likelihood estimation. Our proposed method utilizes a threshold which limits the amount of forwarded RSSI data to the central node. As the threshold is crucial to the method, we further propose a method to theoretically determine its value. We experimentally verified the proposed method in various environments and the experimental results revealed that the method can reduce the load by 32-64% without significantly affecting the estimation accuracy.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.6.1842/_p
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@ARTICLE{e91-b_6_1842,
author={Radim ZEMEK, Shinsuke HARA, Kentaro YANAGIHARA, Ken-ichi KITAYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Traffic Reduction Method for Centralized RSSI-Based Location Estimation in Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={6},
pages={1842-1851},
abstract={In a centralized localization scenario, the limited throughput of the central node constrains the possible number of target node locations that can be estimated simultaneously. To overcome this limitation, we propose a method which effectively decreases the traffic load associated with target node localization, and therefore increases the possible number of target node locations that can estimated simultaneously in a localization system based on received signal strength indicator (RSSI) and maximum likelihood estimation. Our proposed method utilizes a threshold which limits the amount of forwarded RSSI data to the central node. As the threshold is crucial to the method, we further propose a method to theoretically determine its value. We experimentally verified the proposed method in various environments and the experimental results revealed that the method can reduce the load by 32-64% without significantly affecting the estimation accuracy.},
keywords={},
doi={10.1093/ietcom/e91-b.6.1842},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - A Traffic Reduction Method for Centralized RSSI-Based Location Estimation in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1842
EP - 1851
AU - Radim ZEMEK
AU - Shinsuke HARA
AU - Kentaro YANAGIHARA
AU - Ken-ichi KITAYAMA
PY - 2008
DO - 10.1093/ietcom/e91-b.6.1842
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2008
AB - In a centralized localization scenario, the limited throughput of the central node constrains the possible number of target node locations that can be estimated simultaneously. To overcome this limitation, we propose a method which effectively decreases the traffic load associated with target node localization, and therefore increases the possible number of target node locations that can estimated simultaneously in a localization system based on received signal strength indicator (RSSI) and maximum likelihood estimation. Our proposed method utilizes a threshold which limits the amount of forwarded RSSI data to the central node. As the threshold is crucial to the method, we further propose a method to theoretically determine its value. We experimentally verified the proposed method in various environments and the experimental results revealed that the method can reduce the load by 32-64% without significantly affecting the estimation accuracy.
ER -
English
