scholarly journals Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Rui Wang ◽  
Wenming Cao ◽  
Wanggen Wan
Keyword(s):  
Sensor Networks ◽  
Fixed Time ◽  
Target Localization ◽  
Fuzzy Geometry ◽  
Geometrical Constraints ◽  
Linear Observer ◽  
Massive Scale ◽  
Passive Sensor ◽  
Location Discovery ◽  
Fuzzy Estimate

Location discovery with uncertainty using passive sensor networks in the nation's power grid is known to be challenging, due to the massive scale and inherent complexity. For bearings-only target localization in passive sensor networks, the approach of fuzzy geometry is introduced to investigate the fuzzy measurability for a moving target inR2space. The fuzzy analytical bias expressions and the geometrical constraints are derived for bearings-only target localization. The interplay between fuzzy geometry of target localization and the fuzzy estimation bias for the case of fuzzy linear observer trajectory is analyzed in detail in sensor networks, which can realize the 3-dimensional localization including fuzzy estimate position and velocity of the target by measuring the fuzzy azimuth angles at intervals of fixed time. Simulation results show that the resulting estimate position outperforms the traditional least squares approach for localization with uncertainty.

Wireless passive sensor networks

2009 ◽  
Vol 47 (8) ◽  
pp. 92-99 ◽  
Author(s):  
O.B. Akan ◽  
M.T. Isik ◽  
B. Baykal
Keyword(s):  
Sensor Networks ◽  
Passive Sensor

Decentralized Consensus Based Target Localization in Wireless Sensor Networks

2017 ◽  
Vol 97 (3) ◽  
pp. 3587-3599 ◽  
Author(s):  
Amirhosein Hajihoseini Gazestani ◽  
Reza Shahbazian ◽  
Seyed Ali Ghorashi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Localization ◽  
Wireless Sensor

scholarly journals RSS-Based Target Localization in Underwater Acoustic Sensor Networks via Convex Relaxation

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2323 ◽  
Author(s):  
Shengming Chang ◽  
Youming Li ◽  
Yucheng He ◽  
Yongqing Wu
Keyword(s):  
Sensor Networks ◽  
Weighted Least Squares ◽  
Convex Relaxation ◽  
Target Localization ◽  
Superior Performance ◽  
Transmit Power ◽  
Underwater Acoustic ◽  
Acoustic Environment ◽  
First Case ◽  
Second Order Cone

The received signal strength (RSS) based target localization problem in underwater acoustic wireless sensor networks (UWSNs) is considered. Two cases with respect to target transmit power are considered. For the first case, under the assumption that the reference of the target transmit power is known, we derive a novel weighted least squares (WLS) estimator by using an approximation to the RSS expressions, and then transform the originally non-convex problem into a mixed semi-definite programming/second-order cone programming (SD/SOCP) problem for reaching an efficient solution. For the second case, there is no knowledge on the target transmit power, and we treat the reference power as an additional unknown parameter. In this case, we formulate a WLS estimator by using a further approximation, and present an iterative ML and mixed SD/SOCP algorithm for solving the derived WLS problem. For both cases, we also derive the closed form expressions of the Cramer–Rao Lower Bounds (CRLBs) on root mean square error (RMSE). Computer simulation results show the superior performance of the proposed methods over the existing ones in the underwater acoustic environment.

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