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Wireless Networks
Erschienen in: Wireless Networks 7/2020

12.06.2020

Optimal sensor placement for source localization based on RSSD

verfasst von: Ali Heydari, MasoudReza Aghabozorgi, Mehrzad Biguesh

Erschienen in: Wireless Networks | Ausgabe 7/2020

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Abstract

Source localization based on the received signal strength (RSS) has received great interest due to its low cost and simple implementation. In this paper we consider the source localization problem based on the received signal strength difference (RSSD) with unknown transmitted power of the source using spatially separated sensors. It is well- known that the relative sensor-source geometry (SSG) plays a significant role in localization performance. For this issue, the fisher information matrix (FIM) which inherently is a function of relative SSG is derived. Then for different scenarios the SSG based on the maximization of determinant of FIM is investigated to obtain the optimal sensor placement. Finally, computer simulations are used to study the performance of various sensor placements. Both theoretical analysis and simulation results reveal the ability of the proposed sensor- source geometries.
Vorheriger Artikel Exact outage performance of small-cell network relying device-to-device and non-orthogonal multiple access under perfect and imperfect CSI
Nächster Artikel Outage performance analysis and resource allocation algorithm for energy harvesting D2D communication system

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Fußnoten
1
We have to mention that for \(N \geqslant 6\) with equal sensor ranges, the optimal geometry is not unique and equiangular sensor separation is a special case of infinitely many optimal geometries.
 
2
Although some places in the Fig. 9b have better performance respect to the corresponding places in Fig. 9a but in average the sensor configuration in Fig. 9a gives a better performance for all region.
 
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Metadaten
Titel
Optimal sensor placement for source localization based on RSSD
verfasst von
Ali Heydari
MasoudReza Aghabozorgi
Mehrzad Biguesh
Publikationsdatum
12.06.2020
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 7/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-020-02380-6

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