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sensor localization for Highly Deformed Partially Calibrated Arrays With Moving Targets

IEEE SIGNAL PROCESSING LETTERS 2019年第2期26卷 372-376页

作者： Yang, Long Yang, Yixin Liao, Guisheng Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China

In this letter, a sensor localization technique for highly deformed partially calibrated arrays with multiple moving targets is proposed. The deformed array is divided into several subarrays. The first subarray is composed of the pre-calibrated sensors, whereas the sensors in the other subarrays are uncalibrated. The positions of the sensors are estimated from the phase differences between the pre-calibrated sensors and the uncalibrated sensors. The phase ambiguities caused by the highly deformed sensor positions can be solved using the subspace orthogonality and the movement of multiple targets. Simulation results evaluate the performance of the proposed method, and the Cramer-Rao bounds are compared.

关键词： sensor localization partially calibrated sensor array phase ambiguity highly-deformed sensor array

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sensor localization-based Distributed Target Tracking Filter in Underwater sensor Network 54

Sensor Localization-based Distributed Target Tracking Filter...

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2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)

作者： Yu, Chang Ho Min, Su Hong Choi, Jae Weon Pusan Natl Univ Grad Sch Technol Entrepreneurship Busan South Korea Pusan Natl Univ Sch Mech Engn Busan South Korea

ISBN: (纸本)9784907764487

This paper deals with the problem of localizing sensors based on time of arrival (ToA) method and tracking a target moving through the environment of underwater sensor networks (USNs). ToA method for localizing sensors is the most simple and intuitive algorithm applicable for USNs. In this paper, ToA-based sensor localization system in USNs is proposed, which consists of ToA-based distance estimation, position computation using trilateration, and localization algorithm using recursive position estimation (RPE). By using the localized underwater sensor information, distributed Kalman filter (DKF) can estimate the state of target on valid sensor platforms. Simulation results illustrate the performance of the proposed distributed tracking filters.

关键词： sensor localization underwater sensor networks distributed Kalman filter wake-up/sleep scheme

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sensor localization and Obstacle Boundary Detection Algorithm in WSN

Sensor Localization and Obstacle Boundary Detection Algorith...

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3rd International Conference on Advances in Computing and Communications (ICACC)

作者： Das, Supantha Banerjee, Indrajit Samanta, Tuhina Bengal Engn & Sci Univ Sibpur India

ISBN: (纸本)9780769550336

Existence of obstacles in sensor deployment region distorts the communication among sensor nodes and also disrupts sensor localization process. This paper represents a novel approach for localizing obstacles and sensors nodes using four GPS enabled anchor nodes. Based on four high energy anchor nodes, sensor localization is done, and an approximate rectangular boundary of each obstacle is detected. Next, accurate measure of the obstacle circumference is performed based on the communication between the neighbor sensor nodes of every obstacle in a time efficient manner, chosen by an elegant heuristic. Simulation results demonstrate the effectiveness and correctness of our proposed scheme, and improvement of our results in many cases.

关键词： Wireless sensor Network sensor localization Boundary sensor node Obstacle boundary detection

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sensor localization using Received Signal Strength Measurements for Obstructed Wireless sensor Networks with Noisy Channels

Sensor Localization using Received Signal Strength Measureme...

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IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

作者： Sen, Mrinmoy Banerjee, Indrajit Chatterjee, Mainak Samanta, Tuhina Indian Inst Engn Sci & Technol Sibpur India Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9781479987603

This paper proposes a new approach to cope with the challenges in sensor localization in an obstructed environment even in the presence of channel noise. In particular, a progressive localization scheme is proposed that does not necessitate the need for any cluster as most existing schemes do. Initialization is done by generating a quadrilateral of sensor nodes where the connectivity weight between them is computed based on the estimated distance from a reference point, which may be any vertex of the quadrilateral. Distances between sensor nodes are mapped from a path-loss model that is governed by the NLOS and Rayleigh fading models, considering noisy communication channel. With the initial quadrilateral characterized, the other sensor nodes are localized in a progressive manner based on the same mapping model. Errors due to presence of obstacles and noisy channel are reduced by studying the estimated distances contributed from the neighboring sensor nodes. Efficiency of our proposed scheme is measured in terms of total power dissipation for localization and the total degree of neighboring nodes required for error reduction. Apart from simulation experiments, we verify our proposed scheme using real hardware deployment in both indoor and outdoor environments. Results reveal that the proposed scheme improves localization precision substantially.

关键词： sensor localization Progressive localization Power dissipation Error rate Test-bed experiments

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Designing reduced beacon trajectory for sensor localization

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第12期8卷 1971-1982页

作者： HUANG Wen-liang LI Shi-jian LIU Duo School of Computer Science Zhejiang University Hangzhou 310027 China Graduate School Zhejiang University Hangzhou 310027 China

localization is one of the substantial issues in wireless sensor networks. The key problem for the mobile beacon localization is how to choose the appropriate beacon trajectory. However, little research has been done on it. In this paper, firstly, we deduce the number of positions for a beacon to send a packet according to the acreage of ROI (region of interest); and next we present a novel method based on virtual force to arrange the positions in arbitrary ROI; then we apply TSP (travelling salesman problem) algorithm to the positions sequence to obtain the optimal touring path, i.e. the reduced beacon trajectory. When a mobile beacon moves along the touring path, sending RF signals at every position, the sensors in ROI can work out their position with trilateration. Experimental results demonstrate that the localization method, based on the beacon reduced path, is efficient and has flexible accuracy.

关键词： sensor network sensor localization Mobile beacon Virtual force

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sensor localization using acoustic Doppler shift with a mobile access point

Sensor localization using acoustic Doppler shift with a mobi...

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13th IEEE Workshop on Statistical Signal Processing

作者： Kozick, Richard J. Sadler, Brian M. Bucknell Univ Dept Elect Engn Lewisburg PA 17837 USA

ISBN: (纸本)0780394038

The nodes in a sensor network are often deployed in random locations. However, most applications require that the location and/or orientation of the nodes be known, so post-deployment algorithms for self-localization of the sensor nodes are important. We consider using a mobile access point (AP) for sensor node localization in a randomly deployed sensor network. We focus on the particular case in which the sensors measure the acoustic Doppler shift in a tone that is emitted from the mobile AP. In addition to the acoustic emission, the mobile AP broadcasts a radio signal that contains AP position, velocity, timing, and parameters of the acoustic signal. We demonstrate that atmospheric turbulence has a significant impact on the accuracy of sensor localization, degrading performance by as much as two orders of magnitude relative to an ideal, plane-wave propagation model. We present Cramer-Rao bounds (CRBs) for sensor localization accuracy and compare the performance of algorithms to the CRBs under "cloudy" and "sunny" weather conditions.

关键词： sensor networks sensor localization location uncertainty Cramer-Rao bound atmospheric turbulence atmospheric scattering

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sensor localization Via Diversely Polarized Antennas

Sensor Localization Via Diversely Polarized Antennas

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9th IEEE International Conference on Distributed Computing in sensor Systems (DCOSS)

作者： Marques Marinho, Marco Antonio de Freitas, Edison Pignaton Carvalho Lustosa da Costa, Joao Paulo de Sousa Junior, Rafael Timoteo Univ Brasilia UnB Dept Elect Engn ENE Brasilia DF Brazil Fed Univ Santa Maria Frederico Westphalen UFSM FW Dept Informat Technol Santa Maria RS Brazil

ISBN: (纸本)9781479946181

Wireless sensor networks (WSNs) are currently employed in a vast number of different applications ranging from home automation and health care to military systems. Although their application may vary greatly, WSNs share a common set of characteristics such as a limited energy supply and simple hardware. A common issue related with the application of WSNs is sensor localization, for some types of applications it is important that the sensors know the relative or absolute position of other sensors in the network, such as surveillance of monitoring networks. If sensors are randomly placed they may resort a wide range of methods such as Global Navigation Satellite Systems (GNSS) or received signal strength indicators (RSSI). In this work we present an alternative to relative sensor localization by employed a crossed dipole antenna in the reception and a known polarization in the transmission. The accuracy of the proposed methods is measured trough numerical simulations and results are presented.

关键词： Wireless sensor Networks sensor localization

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Robust sensor localization against Known sensor Position Attacks

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2019年第12期18卷 2954-2967页

作者： Won, Jongho Bertino, Elise Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

Many localization techniques for wireless sensor networks have been proposed to estimate sensor positions even when there is malicious location information which distorts the estimate. Some of those solutions efficiently estimate sensor positions using the Minimum Mean Square Estimation methods and the Degree-Of-Consistency (DOC). Although such solutions can filter out most of malicious information, if an attacker knows the position of the target sensor, the attacker can significantly alter its estimated position. In this paper, we introduce two attacks based on the knowledge of target sensor positions. The first attack, called Aligned-Beacon-Position (ABP) attack, exploits beacon nodes that are aligned in a line. The second attack, called inside-attack, disables the DOC filtering algorithm by placing malicious location references inside benign location references. To protect against those two known sensor position attacks, we introduce two defense schemes. First, we propose a novel beacon placement strategy to protect against ABP attacks. Second, we present a filtering technique that can filter out malicious location references introduced by inside-attacks. Finally, we propose a localization algorithm which has enhanced accuracy and efficiency compared with previous algorithms. We assess the impact of those attacks and the performance of our defense schemes by simulation and test-bed experiments.

关键词： Robot sensing systems Global Positioning System Mobile computing Wireless sensor networks Estimation Receivers Security Secure localization sensor localization MMSE known sensor position attacks beacon deployment

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Dynamic Beacon Mobility Scheduling for sensor localization

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2012年第8期23卷 1439-1452页

作者： Li, Xu Mitton, Nathalie Simplot-Ryl, Isabelle Simplot-Ryl, David Inria Lille Nord Europe F-59650 Villeneuve Dascq France

In mobile-beacon assisted sensor localization, beacon mobility scheduling aims to determine the best beacon trajectory so that each sensor receives sufficient beacon signals and becomes localized with minimum delay. We propose a novel DeteRministic dynamic bEAcon Mobility Scheduling (DREAMS) algorithm, without requiring any prior knowledge of the sensory field. In this algorithm, the beacon trajectory is defined as the track of Depth-First Traversal (DFT) of the network graph, thus deterministic. The mobile beacon performs DFT dynamically, under the instruction of nearby sensors on the fly. It moves from sensor to sensor in an intelligent heuristic manner according to Received Signal Strength (RSS)-based distance measurements. We prove that DREAMS guarantees full localization (every sensor is localized) when the measurements are noise-free, and derive the upper bound of beacon total moving distance in this case. Then, we suggest to apply node elimination and Local Minimum Spanning Tree (LMST) to shorten beacon tour and reduce delay. Further, we extend DREAMS to multibeacon scenarios. Beacons with different coordinate systems compete for localizing sensors. Loser beacons agree on winner beacons' coordinate system, and become cooperative in subsequent localization. All sensors are finally localized in a commonly agreed coordinate systems. Through simulation we show that DREAMS guarantees full localization even with noisy distance measurements. We evaluate its performance on localization delay and communication overhead in comparison with a previously proposed static path-based scheduling method.

关键词： sensor localization mobile beacon mobility management wireless sensor networks

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Iterative HOS-SOS (IHOSS) Algorithm for Direction-of-Arrival Estimation and sensor localization

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2010年第12期58卷 6181-6194页

作者： Aktas, Metin Tuncer, T. Engin Middle E Tech Univ Dept Elect & Elect Engn TR-06531 Ankara Turkey

A new method for joint direction-of-arrival (DOA) and sensor position estimation is introduced. The sensors are assumed to be randomly deployed except two reference sensors. The proposed method exploits the advantages of both higher-order-statistics (HOS) and second-order-statistics (SOS) with an iterative algorithm, namely Iterative Higher-Order Second-Order Statistics (IHOSS). A new cumulant matrix estimation technique is proposed for the HOS approach by converting the multisource problem into a single source one. IHOSS performs well even in case of correlated source signals due to the effectiveness of the proposed cumulant matrix estimate. A cost function is defined for the joint DOA and position estimation. The iterative procedure is guaranteed to converge. The ambiguity problem in sensor position estimation is solved by observing the source signals at least in two different frequencies. The conditions on these frequencies are presented. Closed-form expressions are derived for the deterministic Cramer-Rao bound (CRB) for DOA and unknown sensor positions for noncircular complex Gaussian noise with unknown covariance matrix. Simulation results show that the performance of IHOSS is significantly better than the HOS approaches for DOA estimation and closely follows the CRB for both DOA and sensor position estimations.

关键词： Cumulant matrix deterministic Cramer-Rao bound (CRB) direction-of-arrival (DOA) estimation higher-order-statistics (HOS) sensor localization

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