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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tateishi, K. Ikegami, T. |
| Copyright Year | 2008 |
| Description | Author affiliation: Grad. Sch. of Sci. & Technol., Meiji Univ., Kawasaki (Tateishi, K.) || Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki (Ikegami, T.) |
| Abstract | In wireless sensor networks, location estimation of sensor nodes is important. Therefore some location estimation methods have been proposed. Especially, in wireless sensor networks based on IEEE802.15.4, a method using received signal strength indicator (RSSI) which can be measured by each sensor node is one of the most practicable methods in the way that new hardware is not needed and it is suitable also for the miniaturization. However this technique has a weak point that it needs to investigate the propagation environment of the sensor field to estimate the location of sensor nodes in advance. This paper proposes the method that the decision of the parameter of the propagation environment using only measurements obtained during localization without investigating prior. Evaluation of this method is shown by simulation and experiment that it is able to decide the propagation parameter of an extent that doesnpsilat influence the location estimation accuracy without investigating the propagation environment of the sensor field. |
| Starting Page | 431 |
| Ending Page | 436 |
| File Size | 850356 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769534435 |
| DOI | 10.1109/PDCAT.2008.65 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-01 |
| Publisher Place | New Zealand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Attenuation Wireless sensor networks Power measurement Hardware Proposals Distributed computing Educational institutions Bioinformatics Electronic mail Biosensors received signal power Sensor Network Location Estimation RSSI |
| Content Type | Text |
| Resource Type | Article |
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