Download or read book Collaborative and Distributed Algorithms for Localization in Wireless Sensor Networks Based on the Solution of Spatially Constrained Local and Sub local Problems written by Juan Cota and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Localization Algorithms and Strategies for Wireless Sensor Networks Monitoring and Surveillance Techniques for Target Tracking written by Mao, Guoqiang and published by IGI Global. This book was released on 2009-05-31 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Localization in Wireless Networks written by Jessica Feng Sanford and published by Springer Science & Business Media. This book was released on 2012-05-03 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a computational tour-de-force, this volume wipes away a host of problems related to location discovery in wireless ad-hoc sensor networks. WASNs have recognized potential in many applications that are location-dependent, yet are heavily constrained by factors such as cost and energy consumption. Their “ad-hoc” nature, with direct rather than mediated connections between a network of wireless devices, adds another layer of difficulty. Basing this work entirely on data-driven, coordinated algorithms, the author’s aim is to present location discovery techniques that are highly accurate—and which fit user criteria. The research deploys nonparametric statistical methods and relies on the concept of joint probability to construct error (including location error) models and environmental field models. It also addresses system issues such as the broadcast and scheduling of the beacon. Reporting an impressive accuracy gain of almost 17 percent, and organized in a clear, sequential manner, this book represents a stride forward in wireless localization.

Download or read book Localization in Self healing Autonomous Sensor Networks SASNet written by Li Li and published by . This book was released on 2008 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book RSS AoA based Target Localization and Tracking in Wireless Sensor Networks written by Slavisa Tomic and published by CRC Press. This book was released on 2022-09-01 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements.Technical topics discussed in the book include:Centralized RSS-AoA-based Target LocalizationDistributed RSS-AoA-based Target LocalizationRSS-AoA-based Target Tracking via Maximum A Posteriori EstimatorRSS-AoA-based Target Tracking via Kalman FilterRSS-AoA-based via Sensor NavigationThis book is of interest for personnel in telecommunications and surveillance industries, military, smart systems, as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization.

Download or read book Distributed Algorithms for Localization and Management in Wireless Ad hoc Sensor Networks written by Chih-Yu Wen and published by . This book was released on 2005 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Distributed Cooperative Algorithm for Localization in Wireless Sensor Networks Using Gaussian Mixture Modeling written by Tashnim Jabir Shovon Chowdhury and published by . This book was released on 2016 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks are defined as spatially distributed autonomous sensors to monitor certain physical or environmental conditions like temperature, pressure, sound, etc. and incorporate the collected data to pass to a central location through a network. Multifarious applications including cyber-physical systems, military, eHealth, environmental monitoring, weather forecasting, etc. make localization a crucial part of wireless sensor networks. Since accuracy and low computational time of the localization, in case of some applications like emergency police or medical services, is very important, the main objective of any localization algorithm should be to attain more accurate and less time consuming scheme. This thesis presents a cooperative sensor network localization scheme that approximates measurement error statistics by Gaussian mixture. Expectation Maximization (EM) algorithm has been implemented to approximate maximum-likelihood estimator of the unknown sensor positions and Gaussian mixture model (GMM) parameters. To estimate the sensor positions we have adopted several algorithms including Broyden-Fletcher-Goldfarb-Shanno (BFGS) Quasi-Newton (QN), Davidon-Fletcher-Powell (DFP), and Cooperative Least Square (LS) algorithm. The distributive form of the algorithms meet the scalability requirements of sparse sensor networks. The algorithms have been analyzed for different number of network sizes. Cramer Rao Lower Bound (CRLB) has been presented and utilized to evaluate the performance of the algorithms. Through Monte Carlo simulation we show the superior performance of BFGS-QN over DFP and cooperative LS in terms of localization accuracy. Moreover the results demonstrate that Root Mean Square Error (RMSE) of BFGS-QN is closer to derived CRLB than both DFP and cooperative LS.

Download or read book Technological Innovation for Collective Awareness Systems written by Luis M. Camarinha-Matos and published by Springer. This book was released on 2014-04-02 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, held in Costa de Caparica, Portugal, in April 2014. The 68 revised full papers were carefully reviewed and selected from numerous submissions. They cover a wide spectrum of topics ranging from collaborative enterprise networks to microelectronics. The papers are organized in the following topical sections: collaborative networks; computational systems; self-organizing manufacturing systems; monitoring and supervision systems; advances in manufacturing; human-computer interfaces; robotics and mechatronics, Petri nets; multi-energy systems; monitoring and control in energy; modelling and simulation in energy; optimization issues in energy; operation issues in energy; power conversion; telecommunications; electronics: design; electronics: RF applications; and electronics: devices.

Download or read book A New Distributed Collaborative Conflict Friendly Localization Algorithm for Wireless Sensor Networks written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Location Localization and Localizability written by Yunhao Liu and published by Springer Nature. This book was released on with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Localization in Wireless Sensor Networks with Inaccurate Range Measurements written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We refer to localization as the problem of estimating the spatial coordinates of wireless nodes in an ad-hoc network. Wireless sensor network is an example of such a network, where localization as a problem has been a challenging topic for several years. The position of sensor nodes can be either manually configured before deployment or a GPS receiver can be built into each of these nodes. The former approach is very tedious and error-prone while the latter is a costly proposition in terms of volume, money and power consumption. In this thesis, we consider the problem of determining the positions of wireless nodes using range measurements from multiple, sparsely located, beacon stations with known locations. Clusters of unknown nodes collaborate among themselves in estimating their positions with the help of beacon stations. The major problem is overcoming range measurement inaccuracies. We propose a simple position estimation algorithm that features robustness with respect to range measurement inaccuracies, has low complexity and distributed implementation using only local information. We analyze the performance of the algorithm based on rigorous simulation and theory. We then extend the simple algorithm to a probabilistic algorithm that overcomes some of the drawbacks present in the simple algorithm. The algorithm was designed and implemented in a wireless test-bed consisting of IEEE 802.11 based iPAQs to study its performance. Most of the current localization systems are based on multiple beacons assisting unknown nodes. In an attempt to eliminate some of the drawbacks present in such systems, we also propose and study a single mobile beacon based localization method where a mobile beacon assists unknown nodes in estimating their positions. An implementation of this method in a wireless testbed was used to evaluate the performance.

Download or read book Cooperative Localization and Navigation written by Chao Gao and published by CRC Press. This book was released on 2019-08-21 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the latest results and techniques for cooperative localization and navigation drawn from a broad array of disciplines. It provides the reader with a generic and comprehensive view of modeling, strategies, and state estimation methodologies in that fields. It discusses the most recent research and novel advances in that direction, exploring the design of algorithms and architectures, benefits, and challenging aspects, as well as a potential broad array of disciplines, including wireless communication, indoor localization, robotics, emergency rescue, motion analysis, etc.

Download or read book Wireless Sensor Networks written by Suraiya Tarannum and published by IntechOpen. This book was released on 2011-06-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance and ubiquity of wireless networks in the modern age justifies the depth and scope of the chapters included in this book, with its special focus on sensors. Topics covered include MAC protocols, with one contribution offering a literature review on them. Energy efficiency is also important, with several chapters addressing cooperative beamforming, modern spatial-diversity techniques and MEMS. Hardware issues are addressed by a batch of chapters, on extending network coverage areas, CMOS RF transceivers, the use of an accelerometer sensor module and a fall-detection monitoring system and a couple of contributions on hierarchical paradigms in wireless sensor networks. More mathematical approaches are also included, with chapters on data aggregation tree construction and distributed localization algorithms.

Download or read book Cooperative Localization in Wireless Networked Systems written by Mauricio Castillo-Effen and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: A novel solution for the localization of wireless networked systems is presented. The solution is based on cooperative estimation, inter-node ranging and strap-down inertial navigation. This approach overrides limitations that are commonly found in currently available localization/positioning solutions. Some solutions, such as GPS, make use of previously deployed infrastructure. In other methods, computations are performed in a central fusion center. In the robotics field, current localization techniques rely on a simultaneous localization and mapping, (SLAM), process, which is slow and requires sensors such as laser range finders or cameras. One of the main attributes of this research is the holistic view of the problem and a systems-engineering approach, which begins with analyzing requirements and establishing metrics for localization. The all encompassing approach provides for concurrent consideration and integration of several aspects of the localization problem, from sensor fusion algorithms for position estimation to the communication protocols required for enabling cooperative localization. As a result, a conceptual solution is presented, which is flexible, general and one that can be adapted to a variety of application scenarios. A major advantage of the solution resides in the utilization of wireless network interfaces for communications and for exteroceptive sensing. In addition, the localization solution can be seamlessly integrated into other localization schemes, which will provide faster convergence, higher accuracy and less latency. Two case-studies for developing the main aspects of cooperative localization were employed. Wireless sensor networks and multi-robot systems, composed of ground robots, provided an information base from which this research was launched. In the wireless sensor network field, novel nonlinear cooperative estimation algorithms are proposed for sequential position estimation. In the field of multi-robot systems the issues of mobility and proprioception, which uses inertial measurement systems for estimating motion, are contemplated. Motion information, in conjunction with range information and communications, can be used for accurate localization and tracking of mobile nodes. A novel partitioning of the sensor fusion problem is presented, which combines an extended Kalman filter for dead-reckoning and particle filters for aiding navigation.

Download or read book Development of Novel Algorithms for Localization in Wireless Sensor Networks written by Nuwan Rajika Kumarasiri and published by . This book was released on 2014 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly accurate localization in wireless sensor networks (WSNs) has been considered as one of the most significant challenges in wireless sensor networks. Significant efforts have been made in order to uplift the solutions to this challenging problem as, localization of a signal source in a wireless sensor network is now appealing for a range of real life applications, including emergency services, navigational systems, and civil/military surveillance. For instance, a couple of seconds of delay in identifying a location of an injured victim could create life threatening situations. During the last few years, several techniques have been proposed to provide an accurate estimation of the location of an unknown sensor node. Received-signal-strength (RSS), angle-of-arrival (AOA), time-difference-of-arrival (TDOA) and time-of-arrival (TOA) to name a few. While these techniques are quick to produce fairly accurate location estimation, they suffer effects from non-line-of-site (NLOS) conditions, unavailability of one or more sensors, or the requirement of expensive receivers, all of which would lead to poor or no location estimation at all. Motivated by the above observations, this thesis aims to develop two novel localization algorithms for localization in WSNs. Furthermore, it suggests to use Dempster-Shafter theory as an efficient tool for localization purposes in WSNs. In this thesis two new localization schemes are proposed. One proposed algorithm for localization in WSNs simultaneously exploits received signal strength (RSS) and time difference of arrival (TDOA) measurements. The accuracy and convergence reliability of the proposed hybrid scheme is also enhanced by incorporating RSS measurements from Wi-Fi networks via cooperative communications between Wi-Fi and sensor networks. Simulation results show that the proposed hybrid positioning approach significantly outperforms each individual method. The advantages of the proposed scheme, which include providing high location accuracy, fast convergence, low complexity implementation, and low power consumption, make it an attractive localization solution via WSNs. A low cost data fusion technique for node positioning that fuses different parameters obtainable from signal measurements, such as received-signal-strength (RSS), angle, and time observations is proposed next. Such a tool enables additional network-based parameters (e.g. hop-counts, delays, etc.) to be easily incorporated to enhance the accuracy of the classification process. The proposed classifier records an improved accuracy of 83.7% from its initial 38.3% accuracy in locating the cell associated with a sensor node at low computational complexity.

Download or read book SeRLoc Robust Localization for Wireless Sensor Networks written by and published by . This book was released on 2005 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many distributed monitoring applications of Wireless Sensor Networks (WSNs) require the location information of a sensor node. In this article, we address the problem of enabling nodes of Wireless Sensor Networks to determine their location in an untrusted environment, known as the secure localization problem. We propose a novel range-independent localization algorithm called SeRLoc that is well suited to a resource constrained environment such as a WSN. SeRLoc is a distributed algorithm based on a two-tier network architecture that allows sensors to passively determine their location without interacting with other sensors. We show that SeRLoc is robust against known attacks on WSNs such as the wormhole attack, the Sybil attack, and compromise of network entities and analytically compute the probability of success for each attack. We also compare the performance of SeRLoc with state-of-the-art range-independent localization schemes and show that SeRLoc has better performance.

Download or read book Distributed Algorithms to Maximize the Lifetime of Wireless Sensor Networks written by Rahul Chandrakant Shah and published by . This book was released on 2005 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: