Localization of People Using Received Signal Strength Measurements in Wireless Sensor Networks PDF Download
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Author: Yang Zhao
Publisher:
ISBN:
Category : Wireless sensor networks
Languages : en
Pages : 116
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Book Description
Author: Yang Zhao
Publisher:
ISBN:
Category : Wireless sensor networks
Languages : en
Pages : 116
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Book Description
Author: Satish R. Jondhale
Publisher: Springer Nature
ISBN: 3030740617
Category : Technology & Engineering
Languages : en
Pages : 205
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Book Description
This book briefly summarizes the current state of the art technologies and solutions for location and tracking (L&T) in wireless sensor networks (WSN), focusing on RSS-based schemes. The authors offer broad and in-depth coverage of essential topics including range-based and range-free localization strategies, and signal path loss models. In addition, the book includes motion models and how state estimation techniques and advanced machine learning techniques can be utilized to design L&T systems for a given problem using low cost measurement metric (that is RSS). This book also provides MATLAB examples to demonstrate fundamental algorithms for L&T and provides online access to all MATLAB codes. The book allows practicing engineers and graduate students to keep pace with contemporary research and new technologies in the L&T domain.
Author: Mao, Guoqiang
Publisher: IGI Global
ISBN: 1605663972
Category : Computers
Languages : en
Pages : 526
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Book Description
Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.
Author: Xue Zhang
Publisher: Springer Nature
ISBN: 3031016831
Category : Technology & Engineering
Languages : en
Pages : 58
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Book Description
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location of a node is known, the wireless links and transmission modalities between two nodes may be unknown. In this case, sensor nodes are used to detect the location and estimate pertinent data transmission activities between nodes. In addition to the broader problem of sensor localization, this booklet studies also specific localization measurements such as time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a subset of sensor nodes to estimate nearby sensor nodes' locations is discussed in detail. Extensive bibliography is given for those readers who want to delve further into specific topics.
Author: Jamey S. Christy
Publisher:
ISBN:
Category : Proximity detectors
Languages : en
Pages : 164
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Book Description
Author: Richard Fuller
Publisher: Springer Science & Business Media
ISBN: 364204378X
Category : Computers
Languages : en
Pages : 275
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Book Description
This book constitutes the refereed proceedings of the second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environnments, MELT, held in Orlando, Florida, USA, in September 2009 in conjunction with the 11th International Conference on Ubiquitous Computing (Ubicomp 2009). MELT is a forum for the state-of-the-art technologies in mobile localization and tracking and novel applications of location-based services. The research contributions in these proceedings cover significant aspects of localization and tracking of mobile devices that include techniques suitable for smart phones and mobile sensor networks in both outdoor and indoor environments using diverse sensors and radio signals. Novel theoretical methods, algorithmic design and analysis, application development, and experimental studies are presented in 14 papers that were reviewed carefully by the program committee. In addition, three invited papers, with topics on location determination using RF systems, Cramer-Rao-Bound analysis for indoor localization and approaches targeting mobile sensor networks, are also included in the proceedings.
Author: Yang Zhao
Publisher:
ISBN:
Category : Computers
Languages : en
Pages :
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Book Description
Received signal strength (RSS)-based localization of people and assets through RFID has significant benefits for logistics, security and safety. However, the accuracy of RFID localization in wireless sensor networks suffers from unrealistic antenna gain pattern assumption, and the human body has a major effect on the gain pattern of the RFID badge that the person is wearing. In this book chapter, the gain pattern due to the effect of the human body is experimentally measured and modeled. A method is presented to estimate the model parameters from multiple RSS measurements. Two joint orientation and position estimators, four-dimensional (4D) maximum likelihood estimation (MLE) algorithm and alternating gain and position estimation (AGAPE) algorithm, are proposed to estimate the orientation and the position of the badge using RSS measurements from anchor nodes. A Bayesian lower bound on the mean squared error of the joint estimation is derived and compared with the Cramer-Rao bound with an isotropic gain pattern. Both theoretical and experimental results show that the accuracy of position estimates can be improved with orientation estimates included in the localization system.
Author: Xue Zhang
Publisher:
ISBN:
Category : Wireless sensor networks
Languages : en
Pages : 99
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Book Description
In many applications, measured sensor data is meaningful only when the location of sensors is accurately known. Therefore, the localization accuracy is crucial. In this dissertation, both location estimation and location detection problems are considered. In location estimation problems, sensor nodes at known locations, called anchors, transmit signals to sensor nodes at unknown locations, called nodes, and use these transmissions to estimate the location of the nodes. Specifically, the location estimation in the presence of fading channels using time of arrival (TOA) measurements with narrowband communication signals is considered. Meanwhile, the Cramer-Rao lower bound (CRLB) for localization error under different assumptions is derived. Also, maximum likelihood estimators (MLEs) under these assumptions are derived. In large WSNs, distributed location estimation algorithms are more efficient than centralized algorithms. A sequential localization scheme, which is one of distributed location estimation algorithms, is considered. Also, different localization methods, such as TOA, received signal strength (RSS), time difference of arrival (TDOA), direction of arrival (DOA), and large aperture array (LAA) are compared under different signal-to-noise ratio (SNR) conditions. Simulation results show that DOA is the preferred scheme at the low SNR regime and the LAA localization algorithm provides better performance for network discovery at high SNRs. Meanwhile, the CRLB for the localization error using the TOA method is also derived. A distributed location detection scheme, which allows each anchor to make a decision as to whether a node is active or not is proposed. Once an anchor makes a decision, a bit is transmitted to a fusion center (FC). The fusion center combines all the decisions and uses a design parameter $K$ to make the final decision. Three scenarios are considered in this dissertation. Firstly, location detection at a known location is considered. Secondly, detecting a node in a known region is considered. Thirdly, location detection in the presence of fading is considered. The optimal thresholds are derived and the total probability of false alarm and detection under different scenarios are derived.
Author: Tessa Faith Herzberger
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Wireless sensor networks (WSNs) have been implemented in a variety of scenarios, including tracking, smart grid, and equipment monitoring. Often times, devices in WSNs are required to know their locations with respect to other devices in the network. This act, known as localization, is the art of predicting the location of a device using anchor devices with known locations in the same network. Localization is essential for many critical industrial applications including underground mines, as the location of devices and employees is vital in helping to guarantee the safety of mining personnel. To the best of our knowledge, existing works have not yet performed extensive research into the use of numerical lters for localization accuracy enhancement. Other works have looked into the use of a speci c numerical lter, however none have covered all of the lters used in this paper. In this thesis, a WSN system that performs localization in an underground mine is proposed. This system uses the Zigbee communication protocol, received signal strength indicator (RSSI) measurements and the trilateration algorithm. The focus of the system is to maximize the accuracy of the predicted location by minimizing the radial error, which is the distance between the predicted location and actual location of a node. Point-to-point tests are performed to determine the best choice of hardware and RSSI model. These were determined to be Texas Instrument's (TI) CC2538 devices and the Piecewise RSSI model respectively. Next, trilateration experiments were performed using nodes containing the CC2538 devices positioned in a star topology. The localization results showed that the system was able to predict the location of a node with some error, which can be improved. Lastly, this thesis discusses the use of numerical ltering algorithms to enhance the accuracy of the predicted location by decreasing the radial error. These lters are as follows: the Statistical Average (SA) lter, the Gaussian lter, the Gaussian and Statistical Average (GSA) lter, the Kalman lter, the Kalman and Statistical Average (KSA) lter, as well as the Alpha-Trimmed Mean (ATM) lter.
Author: Yunhao Liu
Publisher: Springer Science & Business Media
ISBN: 1441973710
Category : Technology & Engineering
Languages : en
Pages : 166
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Book Description
This book reflects up-to-date research, fundamental theories, and key techniques of of wireless localization technology and error-controlling techniques. It also presents and discusses the issue of localizability, as well as privacy issues associated with LBS. This book encompasses the significant and quickly growing area of wireless localization technology. It presents comprehensive and up-to-date research in both fundamental theories and key techniques of network localization. In addition to localization approaches, it also is the first book to address the issue of localizability. The privacy issue of LBS technology is also discussed.
