Self-localization Algorithms for Wireless Sensor Networks PDF Download
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Author: Satish Babu Tadiparthi
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 190
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Book Description
Presents custom designed localization algorithms for wireless sensor networks (WSN's). Introduces a modification of the 3N time of arrival (TOA) based algorithm and compares its performance with the existing methods using a comprehensive quantitative Monte Carlo simulation study. Studies the effect of different parameters of the algorithms and networks. Proposes a reliable time difference of arrival (TDOA) based localization algorithm for wireless sensor networks which is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. Introduces a novel graph-theorectic self-localization algorithm which resolves ambiguities in the position candidates.
Author: Satish Babu Tadiparthi
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 190
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Book Description
Presents custom designed localization algorithms for wireless sensor networks (WSN's). Introduces a modification of the 3N time of arrival (TOA) based algorithm and compares its performance with the existing methods using a comprehensive quantitative Monte Carlo simulation study. Studies the effect of different parameters of the algorithms and networks. Proposes a reliable time difference of arrival (TDOA) based localization algorithm for wireless sensor networks which is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. Introduces a novel graph-theorectic self-localization algorithm which resolves ambiguities in the position candidates.
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: M. Vasim Babu
Publisher:
ISBN: 9781799837336
Category : Computer algorithms
Languages : en
Pages :
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Book Description
"This book explores self-localization, 3D localization analysis, and network models. It also examines future trends and applications of localization in wireless sensor networks"--
Author: R. C. Bolles
Publisher: World Scientific
ISBN: 9789810231859
Category : Computers
Languages : en
Pages : 480
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Book Description
Rapid advances in sensors, computers, and algorithms continue to fuel dramatic improvements in intelligent robots. In addition, robot vehicles are starting to appear in a number of applications. For example, they have been installed in public settings to perform such tasks as delivering items in hospitals and cleaning floors in supermarkets; recently, two small robot vehicles were launched to explore Mars.This book presents the latest advances in the principal fields that contribute to robotics. It contains contributions written by leading experts addressing topics such as Path and Motion Planning, Navigation and Sensing, Vision and Object Recognition, Environment Modeling, and others.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 29
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Book Description
A process which computes the physical locations of nodes in a wireless sensor network is called localization. Self-localization is critical for large-scale sensor networks because manual or assisted localization is often impractical due to time requirements, economic constraints or inherent limitations of deployment scenarios. We have developed a service for reliably localizing wireless sensor networks in environments conducive to ranging errors by using a custom hardware-software solution for acoustic ranging and a family of self-localization algorithms. The ranging solution improves on previous work, extending the practical measurement range threefold "20-30m" while maintaining a distance-invariant median measurement error of about 1% of maximum range "33cm". The localization scheme is based on least squares scaling with soft constraints. Evaluation using ranging results obtained from sensor network field experiments shows that the localization scheme is resilient against large-magnitude ranging errors and sparse range measurements, both of which are common in large-scale outdoor sensor network deployments.
Author: Jessica Feng Sanford
Publisher: Springer Science & Business Media
ISBN: 1461418399
Category : Technology & Engineering
Languages : en
Pages : 207
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Book Description
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.
Author: Fawzi Fawaz Yassine
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Book Description
A Wireless Sensor Network (WSN) is formed of low-cost, low-power, multifunctional, tiny sensor nodes that scattered in one area and can collect physical information, process and forward them to sink nodes which act as data collectors. Sensors exhibit self-configuring and self-organizing capabilities and can be deployed densely and randomly without predetermining their positions. Localization has been a major challenge in wireless sensor networks because without finding the position of the sensor that is reporting sensed data, the data reported will not be useful. However, most of the previous localization approaches demand that sensors have plenty of resources like power, memory, or extra hardware used for ranging. In this thesis we propose a new Hybrid Distance Vector based localization algorithm, referred to as HDV-Hop, that accurately localizes sensors while minimizing their power consumption and memory requirements, and without depending on any extra hardware. HDV-Hop splits the task of localization between sensor nodes and the base station (i.e., sink). Moreover, the proposed algorithm does not necessitate the presence of many nodes with preconfigured positions, or anchor nodes. In HDV-Hop, anchors are placed in a circle or a semi-circle around the perimeter of the WSN. Not only this placement strategy leads to more accurate localization, but also it is very convenient for WSNs used for environment monitoring or military surveillance or tracking applications. Using NS-2 and MATLAB simulations, we have shown that the proposed HDV-Hop outperforms other peer approaches in terms of localization accuracy and power efficiency.
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: Philip Lin
Publisher:
ISBN:
Category : Location problems (Programming)
Languages : en
Pages : 244
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Book Description
In modern wireless sensor networks (WSN) applications, location awareness has been one of the features that attracted many research interests. Various applications utilize location information for surveillance and asset tracking purposes. Common WSN localization systems use radio frequency (RF), ultra-sound, or laser devices to provide range information, whose node positions are to be determined by various algorithms accordingly. Multi-dimensional scaling (MDS) is one of the most common algorithms for transforming inter-node distances into node positions in Cartesian coordinates. However, MDS algorithm, by nature, has a cubic computational complexity. Also, the algorithm's ability to localize is restricted to fully connected WSNs, where every node sees every other node. This thesis proposes a low-cost pure RF based localization system, implemented with a novel clustering MDS algorithm. Its most attractive feature is its ability to localize a partially connected WSN with a linear computation complexity without sacrificing the localization accuracy. In this thesis, we review various localization techniques and conduct experiments to compare the clustering MDS' performance against the classical MDS' and GPS'. The localization with a commercial GPS, although, better than the above two methods, has also introduced significant discrepancy. At the end, we have demonstrated that RF localization in our low-cost system does not deliver GPS-grade accuracy, but its ability to localize partially-connected WSN and low computation complexity have outperformed the classical MDS approach.
Author: Feng Zhao
Publisher: Springer Science & Business Media
ISBN: 3540021116
Category : Computers
Languages : en
Pages : 688
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Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
