Research On a Localization Algorithm Based On Wireless Sensor Network
Xuelong Zhang,Hao Liu +1 more
- 31 Jan 2017
Vol. 10, Iss: 1, pp 1-14
TL;DR: A new localization algorithm based on a set of statistical vectors (SV) that can realize centralized localization, distributed localization and incremental localization of nodes.
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Abstract: After analyzing the disadvantages of the centralized multidimensional localization algorithms MDS-MAP (Multi-Dimensional Scaling-MAP) in positioning accuracy and computational complexity, we present a new localization algorithm based on a set of statistical vectors (SV). The solving equation of the double centered matrix can be simplified by node coordinate transformation. In order to reduce the noise disturbance and decrease the effect of ranging error on the followed location accuracy, a new coordinate inner product matrix can be reconstructed by using a set of statistical vectors, which can be used to calculate the node coordinates directly. This algorithm can realize centralized localization, distributed localization and incremental localization of nodes.
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References
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Research on Localization Algorithm of Wireless Sensor Network
TL;DR: In order to take advantage of the wireless sensor network to achieve more precise positioning of objects, the aims is to study and improve RSSI( Received Signal Strength Indicator) localization algorithm.
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The Cramer-Rao bounds of hybrid TOA/RSS and TDOA/RSS location estimation schemes
A. Catovic,Zafer Sahinoglu +1 more
TL;DR: The Cramer-Rao bound (CRB) on location estimation accuracy of two different hybrid schemes, time of arrival/received signal strength (TOA/RSS) and time difference of arrival and TDOA schemes, is computed.
An accurate radio channel model for wireless sensor networks simulation
Alejandro Santos Martinez-Sala,Jose-Maria Molina-Garcia-Pardo,Esteban Egea-Ldpez,Javier Vales-Alonso,Leandro Juan-Llacer,Joan Garcia-Haro +5 more
TL;DR: This paper proposes to use a low-computational cost, two slope, log-normal path-loss near ground outdoor channel model at 868 MHz in WSN simulations, validated by extensive real hardware measurements obtained in different scenarios and demonstrates that the two slope log- normal model provides more accurate WSN simulation at almost the same computational cost as the single slope one.