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## Path Loss Exponent Estimation for Wireless Sensor Network Localization

Citations: | 29 - 3 self |

### Citations

2436 |
Wireless Communications: Principles and Practice
- Rappaport
- 2001
(Show Context)
Citation Context ... divided into distance-estimation based [1], [3]–[6] and RSS-profiling based techniques [2], [7], [9], [10]. Existing distance-estimation based techniques rely on a log-normal radio propagation model =-=[11]-=- to estimate inter-sensor distances from RSS measurements. The path loss exponent (PLE) is a key parameter in the log-normal model. An accurate knowledge of the PLE is required in order to obtain an a... |

2036 | Radar: An in-building rf-based user location and tracking system - Bahl, Padamanabhan - 2000 |

305 | Relative Location Estimation in Wireless Sensor Networks‖,
- Patwari, Hero
- 2003
(Show Context)
Citation Context ... In environmental sensing applications such as bush fire surveillance, water quality monitoring and precision agriculture, for example, sensing data without knowing the sensor location is meaningless =-=[1]-=-. In addition, location estimation may enable applications such as inventory management, intrusion detection, road traffic monitoring, health monitoring, etc. Sensor network localization estimates the... |

242 | Grid coverage for surveillance and target Location in distributed sensor networks.
- Chakrabarty, Iyengar, et al.
- 2002
(Show Context)
Citation Context ...neighboring sensors can be obtained by assuming a certain distribution of the error, e.g., Gaussian distribution. Some other researchers also consider the deployment of sensors near grid points [18], =-=[19]-=-. In addition, it is possible to obtain an accurate knowledge of the probability distribution of inter-sensor distances from the distribution of wireless sensors [20]–[22]. In particular, it was shown... |

241 |
Theory and applications of distance geometry.
- Blumenthal
- 1953
(Show Context)
Citation Context ...loss exponent based on known probability distribution of inter-sensor distances. In Section III we present the principle of the path loss exponent estimation using the Cayley-Menger determinant [15], =-=[16]-=-. Section IV and Section V present the proposed algorithm and an improvement of it using data fusion. Both algorithms do not rely on knowledge of distance-related information. The validity of these al... |

227 |
Distance Geometry and Molecular Conformation,
- Crippen, Havel
- 1988
(Show Context)
Citation Context ... path loss exponent based on known probability distribution of inter-sensor distances. In Section III we present the principle of the path loss exponent estimation using the Cayley-Menger determinant =-=[15]-=-, [16]. Section IV and Section V present the proposed algorithm and an improvement of it using data fusion. Both algorithms do not rely on knowledge of distance-related information. The validity of th... |

167 | The limits of localization using signal strength: a comparative study,” in - Elnahrawy, Li, et al. - 2004 |

107 | A statistical modeling approach to location estimation.
- Roos, Myllymaki, et al.
- 2002
(Show Context)
Citation Context ...al power consumption, sensor size and thus cost. RSS based localization techniques can be further divided into distance-estimation based [1], [3]–[6] and RSS-profiling based techniques [2], [7], [9], =-=[10]-=-. Existing distance-estimation based techniques rely on a log-normal radio propagation model [11] to estimate inter-sensor distances from RSS measurements. The path loss exponent (PLE) is a key parame... |

102 | Bayesian indoor positioning systems.
- Madigan, Einahrawy, et al.
- 2005
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Citation Context ... whose vertices are located in a ring. The inner radius of the ring is 5 and the outer radius is 10. The coordinates of the vertices are generated by first selecting a number uniformly distributed in =-=[5, 10]-=- and then selecting a number uniformly distributed in [0, 2π]. The two numbers are used as the polar coordinate of the vertex to obtain the rectangular coordinate. and the deployment of sensors can al... |

96 | Sensor placement for grid coverage under imprecise detections.
- Dhillon, Iyngar
- 2002
(Show Context)
Citation Context ...tween neighboring sensors can be obtained by assuming a certain distribution of the error, e.g., Gaussian distribution. Some other researchers also consider the deployment of sensors near grid points =-=[18]-=-, [19]. In addition, it is possible to obtain an accurate knowledge of the probability distribution of inter-sensor distances from the distribution of wireless sensors [20]–[22]. In particular, it was... |

78 | On Indoor Position Location With Wireless LANs,
- Prasithsangaree, P, et al.
- 2002
(Show Context)
Citation Context ...impact local power consumption, sensor size and thus cost. RSS based localization techniques can be further divided into distance-estimation based [1], [3]–[6] and RSS-profiling based techniques [2], =-=[7]-=-, [9], [10]. Existing distance-estimation based techniques rely on a log-normal radio propagation model [11] to estimate inter-sensor distances from RSS measurements. The path loss exponent (PLE) is a... |

69 | Localization in sensor networks with fading and mobility.
- Bergamo, Mazzini
- 2002
(Show Context)
Citation Context ...nal hardware, and are unlikely to significantly impact local power consumption, sensor size and thus cost. RSS based localization techniques can be further divided into distance-estimation based [1], =-=[3]-=-–[6] and RSS-profiling based techniques [2], [7], [9], [10]. Existing distance-estimation based techniques rely on a log-normal radio propagation model [11] to estimate inter-sensor distances from RSS... |

63 | A system for lease: location estimation assisted by stationary emitters for indoor rf wireless networks.
- Krishnan, Krishnakumar, et al.
- 2004
(Show Context)
Citation Context ...t local power consumption, sensor size and thus cost. RSS based localization techniques can be further divided into distance-estimation based [1], [3]–[6] and RSS-profiling based techniques [2], [7], =-=[9]-=-, [10]. Existing distance-estimation based techniques rely on a log-normal radio propagation model [11] to estimate inter-sensor distances from RSS measurements. The path loss exponent (PLE) is a key ... |

51 |
Sample quantiles in statistical packages.
- Hyndman, Fan
- 1996
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Citation Context ...but rather the weaker assumption that the receiver knows the exact value of the radiated power of the transmitter. A more generic technique, based on the same idea as the quantile-quantile (q-q) plot =-=[24]-=-, can be used if the distance distribution has a complex form which is not suitable for computation. The q-q plot is a graphical technique for determining whether two data sets come from populations w... |

42 |
Probability Grid: A Location Estimation Scheme for Wireless Sensor Network.
- Stoleru, Stankovic
- 2004
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Citation Context ... distance between neighboring sensors is known. In some applications, it is possible to know a priori the probability distribution of distance between neighboring sensors. For example, Stoleru et al. =-=[17]-=- consider that in some applications like precision agriculture, sensors will be deployed approximately on the grid points with some error. In that case, the approximate probability distribution of dis... |

39 | Distribution of link distances in a wireless network
- Miller
- 2001
(Show Context)
Citation Context ...of sensors near grid points [18], [19]. In addition, it is possible to obtain an accurate knowledge of the probability distribution of inter-sensor distances from the distribution of wireless sensors =-=[20]-=-–[22]. In particular, it was shown in [20] that under certain conditions, the inter-sensor distance distributions are very similar when sensors are distributed in the region following a uniform distri... |

31 |
An empirical analysis of radio signal strength variability in ieee 802.15.4 networks using monopole antennas.
- Lymberopoulos, Lindsey, et al.
- 2006
(Show Context)
Citation Context ...is paper we propose several techniques for online calibration of the path loss exponent, which do not rely on distance measurements. The RSS has been popularly modeled by a log-normal model [1], [11]–=-=[13]-=-: Pij[dBm] ∼ N(Pij[dBm], σ 2 dB), (1) Pij[dBm] = P0[dBm] − 10 × α × log10(dij/d0), (2) where Pij[dBm] is the received power at a receiving node j from a transmitting node i in dB milliwatts, Pij[dBm] ... |

15 |
Simulated annealing based localization in wireless sensor network,”
- Kannan, Mao, et al.
- 2011
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Citation Context ... i and || · || denotes the Euclidean norm. ˆxi and xi are the estimated position and the true position of the i th sensor respectively and for anchor nodes ˆxi = xi. The simulated annealing algorithm =-=[26]-=- is used to solve the problem and obtain the estimated positions of non-anchor nodes. Fig. 20 shows the variation of the sensor network position estimation error with the PLE estimation error. As show... |

15 | Data Fusion of Power and Time Measurements for Mobile Terminal Location
- McGuire, Plataniotis, et al.
- 2005
(Show Context)
Citation Context ...ove. However this method is generally robust in the sense that given an accurate error covariance matrix, it always results in a fused estimator with a lower covariance than the individual estimators =-=[28]-=-. To establish the performance improvement of data fusion approach, we use the path loss exponent estimation from the quadrilaterals, whose vertices are distributed in a square region of 15 × 15 follo... |

11 | Localized positioning in ad-hoc networks
- Nicolescu, Nath
- 2003
(Show Context)
Citation Context ...hardware, and are unlikely to significantly impact local power consumption, sensor size and thus cost. RSS based localization techniques can be further divided into distance-estimation based [1], [3]–=-=[6]-=- and RSS-profiling based techniques [2], [7], [9], [10]. Existing distance-estimation based techniques rely on a log-normal radio propagation model [11] to estimate inter-sensor distances from RSS mea... |

7 |
Deployment optimization of sensornet-based stochastic location-detection systems
- Ray, Lai, et al.
(Show Context)
Citation Context ...rength (RSS) measurements, angle of arrival (AOA) measurements, and propagation time based measurements. Among them, RSS based localization techniques have received considerable research interest [1]–=-=[8]-=-. Although RSS based localization techniques can only provide a coarse-grained location estimate, they are attractive because of their simplicity. Received signal strength indicator (RSSI) has become ... |

7 | Robust Approximations to the Distribution of Link Distances in a Wireless Network Occupying a Rectangular Region - Mullen - 2003 |

7 |
On The Distance Distributions of The Wireless Ad Hoc Networks,"
- Tseng, Chen
- 2006
(Show Context)
Citation Context ...nsors near grid points [18], [19]. In addition, it is possible to obtain an accurate knowledge of the probability distribution of inter-sensor distances from the distribution of wireless sensors [20]–=-=[22]-=-. In particular, it was shown in [20] that under certain conditions, the inter-sensor distance distributions are very similar when sensors are distributed in the region following a uniform distributio... |

2 | Probability and Statistical Inference, ser - Bartoszynski, Niewiadomska-Bugaj - 1996 |

2 |
Multisensor Decision and Estimation Fusion, ser
- Zhu
- 2002
(Show Context)
Citation Context ...uggested in Fig. 7 and 8. However the relationship between σˆα, σdB and α does provide extra information concerning α, which can be exploited to improve ˆα obtained in Section IV by using data fusion =-=[27]-=-. A popular approach in data fusion is to linearly combine the estimated parameters. Denote the estimated α using the relationship between σˆα, σdB and α by ˆαs. Denote the estimated α using the relat... |