Optimal Distributed Detection And Estimation In Static And Mobile Wireless Sensor Networks PDF Download
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| Author | : Xusheng Sun |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : Ad hoc networks (Computer networks) |
| ISBN | : |
Download Optimal Distributed Detection and Estimation in Static and Mobile Wireless Sensor Networks Book in PDF, ePub and Kindle
This dissertation develops optimal algorithms for distributed detection and estimation in static and mobile sensor networks. In distributed detection or estimation scenarios in clustered wireless sensor networks, sensor motes observe their local environment, make decisions or quantize these observations into local estimates of finite length, and send/relay them to a Cluster-Head (CH). For event detection tasks that are subject to both measurement errors and communication errors, we develop an algorithm that combines a Maximum a Posteriori (MAP) approach for local and global decisions with low-complexity channel codes and processing algorithms. For event estimation tasks that are subject to measurement errors, quantization errors and communication errors, we develop an algorithm that uses dithered quantization and channel compensation to ensure that each mote's local estimate received by the CH is unbiased and then lets the CH fuse these estimates into a global one using a Best Linear Unbiased Estimator (BLUE). We then determine both the minimum energy required for the network to produce an estimate with a prescribed error variance and show how this energy must be allocated amongst the motes in the network. In mobile wireless sensor networks, the mobility model governing each node will affect the detection accuracy at the CH and the energy consumption to achieve this level of accuracy. Correlated Random Walks (CRWs) have been proposed as mobility models that accounts for time dependency, geographical restrictions and nonzero drift. Hence, the solution to the continuous-time, 1-D, finite state space CRW is provided and its statistical behavior is studied both analytically and numerically. The impact of the motion of sensor on the network's performance is also studied.
| Author | : Cailian Chen |
| Publisher | : Springer |
| Total Pages | : 96 |
| Release | : 2014-12-10 |
| Genre | : Computers |
| ISBN | : 3319123793 |
Download Wireless Sensor Networks Book in PDF, ePub and Kindle
This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
| Author | : Mohammad Fanaei |
| Publisher | : |
| Total Pages | : 146 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
Download Distributed Detection and Estimation in Wireless Sensor Networks Book in PDF, ePub and Kindle
| Author | : Ananthram Swami |
| Publisher | : John Wiley & Sons |
| Total Pages | : 416 |
| Release | : 2007-10-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9780470061817 |
Download Wireless Sensor Networks Book in PDF, ePub and Kindle
A wireless sensor network (WSN) uses a number of autonomous devices to cooperatively monitor physical or environmental conditions via a wireless network. Since its military beginnings as a means of battlefield surveillance, practical use of this technology has extended to a range of civilian applications including environmental monitoring, natural disaster prediction and relief, health monitoring and fire detection. Technological advancements, coupled with lowering costs, suggest that wireless sensor networks will have a significant impact on 21st century life. The design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross-layer design. Wireless Sensor Networks: Signal Processing and Communications focuses on the theoretical aspects of wireless sensor networks and offers readers signal processing and communication perspectives on the design of large-scale networks. It explains state-of-the-art design theories and techniques to readers and places emphasis on the fundamental properties of large-scale sensor networks. Wireless Sensor Networks: Signal Processing and Communications : Approaches WSNs from a new angle – distributed signal processing, communication algorithms and novel cross-layer design paradigms. Applies ideas and illustrations from classical theory to an emerging field of WSN applications. Presents important analytical tools for use in the design of application-specific WSNs. Wireless Sensor Networks will be of use to signal processing and communications researchers and practitioners in applying classical theory to network design. It identifies research directions for senior undergraduate and graduate students and offers a rich bibliography for further reading and investigation.
| Author | : Gene Whipps |
| Publisher | : |
| Total Pages | : 122 |
| Release | : 2017 |
| Genre | : Electrical engineering |
| ISBN | : |
Download Contributions to Distributed Detection and Estimation Over Sensor Networks Book in PDF, ePub and Kindle
Wireless sensor networks have matured over the last several years from popular research and development platforms to commercially-available sensors and systems. In many applications, wireless sensor networks have size, weight, power, and cost limitations. These constraints directly affect the ability of sensor nodes to adequately process and reliably communicate information within the sensor network. This dissertation examines aspects of distributed detection and estimation over a sensor network while considering limitations inherent in wireless networks. First, we consider the problem of distributed detection from a large network of sensors and introduce a realistic network model. Sensor nodes make individual decisions from their local observation and then communicate these decisions through a shared and imperfect communications channel to a central decision node. The key difference from previous research is the network model allows the decision rule to leverage errors in the channel to improve detection performance. We derive analytical expressions that characterize the detection performance of the system with respect to both sensor density and communications delay. We show that the detection performance improves with network density when sensor nodes are appropriately censored and desensitized, despite increasing message collisions. In addition, we show that detection performance using the protocol model, with imperfect communications, rapidly converges to the perfect communications case as the number of communication slots increase.
| Author | : Maciej Patan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 300 |
| Release | : 2012-02-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3642282296 |
Download Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems Book in PDF, ePub and Kindle
Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment. Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.
| Author | : S. Sitharama Iyengar |
| Publisher | : CRC Press |
| Total Pages | : 945 |
| Release | : 2012-09-24 |
| Genre | : Computers |
| ISBN | : 1439862877 |
Download Distributed Sensor Networks, Second Edition Book in PDF, ePub and Kindle
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field. Revised and expanded, this second edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Sensor Networking and Applications focuses on sensor deployment and networking, adaptive tasking, self-configuration, and system control. In the expanded applications section, the book draws on the insight of practitioners in the field. Readers of this book may also be interested in Distributed Sensor Networks, Second Edition: Image and Sensor Signal Processing (ISBN: 9781439862827).
| Author | : Sai Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 76 |
| Release | : 2022-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 303101684X |
Download Distributed Network Structure Estimation Using Consensus Methods Book in PDF, ePub and Kindle
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating the center and the coverage region of a wireless sensor network is described. The algorithms introduced are appropriate for most connected distributed networks. The performance of the algorithms is analyzed theoretically, and simulations are performed and presented to validate the theoretical results. In this book, we also describe how the introduced algorithms can be used to learn global data information and the global data region.
| Author | : S. Sitharama Iyengar |
| Publisher | : CRC Press |
| Total Pages | : 767 |
| Release | : 2016-04-19 |
| Genre | : Computers |
| ISBN | : 1000755665 |
Download Distributed Sensor Networks Book in PDF, ePub and Kindle
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for
| Author | : Yingshu Li |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 444 |
| Release | : 2008-02-10 |
| Genre | : Computers |
| ISBN | : 0387495924 |
Download Wireless Sensor Networks and Applications Book in PDF, ePub and Kindle
A crucial reference tool for the increasing number of scientists who depend upon sensor networks in a widening variety of ways. Coverage includes network design and modeling, network management, data management, security and applications. The topic covered in each chapter receives expository as well as scholarly treatment, covering its history, reviewing state-of-the-art thinking relative to the topic, and discussing currently unsolved problems of special interest.
