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Tuesday, November 3, 2020 | History

6 edition of Coverage control in sensor networks found in the catalog.

Coverage control in sensor networks

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  • 25 Currently reading

Published by Springer in London .
Written in English

    Subjects:
  • Sensor networks

  • Edition Notes

    Includes bibliographical references and index.

    Statementby Bang Wang
    SeriesComputer communications and networks, Computer communications and networks
    Classifications
    LC ClassificationsTK7872.D48 W36 2010
    The Physical Object
    Paginationxv, 210 p. :
    Number of Pages210
    ID Numbers
    Open LibraryOL25263814M
    ISBN 101849960585, 1849960593
    ISBN 109781849960588, 9781849960595
    LC Control Number2010920018
    OCLC/WorldCa471801766


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Coverage control in sensor networks by Bang Wang Download PDF EPUB FB2

The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase of higher spatial and temporal re- lution and accuracy.

With the fast progress of sensors design and communications technique, sensor networks Author: Bang Wang. As one of the most fundamental and important research issues in sensor networks, coverage control problems have been intensively studied in recent years.

Divided into four parts, this book opens with a general introduction, before presenting three categories of coverage control problems—point coverage, area coverage and barrier coverage—in Brand: Springer-Verlag London.

As one of the most fundamental and important research issues in sensor networks, coverage control problems have been intensively studied in recent years. Divided into four parts, this book opens with a general introduction, before presenting three categories Coverage control in sensor networks book coverage control problems—point coverage, area coverage and barrier coverage—in.

Download Coverage Control In Sensor Networks books, The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase of higher spatial and temporal re- lution and accuracy.

With the fast progress of sensors design and communications technique, sensor networks have also been quickly. Get this from a library. Coverage control in sensor networks. [Bang Wang] -- This easy-to-read text focuses on challenges in coverage control in sensor networks, examines fundamental coverage problems, and presents the most recent advances and techniques in the field.

Book. Coverage Control in Sensor Networks. At first, this chapter discusses its motivations and challenges, and also provides a taxonomy of the coverage control problems in sensor networks.

: Bang Wang. Sensors are devices that convert physical stimulus into recordable signals. Sensors have facilitated people to understand, monitor, and control machines and environments for many decades.

A sensor node consists of not only sensor unit but also microcontroller unit, communication unit, storage unit, and power supply for producing, collecting, storing, processing, and delivering sensory data.

[17], and architectures for distributed control [18]. Motivated by applications in the context of distributed sensing networks, we identify a novel “coverage” control problem for multi-vehicle systems and we strive to design decentralized control laws that optimize the vehicles’ locations for sensing purposes.

Index Terms—Coverage control, distributed and asynchronous algorithms, sensor networks, centroidal Voronoi partitions I. INTRODUCTION Mobile sensing networks The deployment Coverage control in sensor networks book large groups of autonomous vehicles is rapidly becoming possible because of technological advances in networking and in miniaturization of electro-mechanical systems.

The aim of the book is to provide tutorial-like and up-to-date reference resources on various coverage control problems in sensor networks, a hot topic that has been intensively researched in recent years.

Topology Control in Wireless Ad Hoc and Sensor Networks makes the case for topology control and provides an exhaustive coverage of TC techniques in wireless ad hoc and sensor networks, considering both stationary networks, to which most of the existing solutions are tailored, and mobile networks.

The author introduces a new taxonomy of topology. Part I: Introduction Introduction Sensor Coverage Model Network Coverage Control Part II Target Coverage Problems Node Placement Optimization Coverage Lifetime Maximization Part III Area Coverage Problems Critical Sensor Density Sensor Activity Scheduling Node Movement Strategy Part IV Barrier Coverage Problems Build Intrusion Barriers Find.

Coverage Control in Sensor Networks by Bang Wang English | PDF | | Pages | ISBN: | MB Advances in sensor technology have yielded sensors with ever-increasing accuracy and higher spatial and temporal resolution—while their size, weight, and cost have decreased by many orders of magnitude. Sensor networks have been developing at a similarly rapid pace, with.

connectivity: the sensor network remains connected so that the information collected by sensor nodes can be relayed back to data sinks or controllers.

In this book chapter, we consider the coverage issue in wireless sensor networks. We consider two operational modes. Case I: All sensor. Written with a tutorial style, this introduction presents three key types of coverage control problems: point, area and barrier coverage. The fundamentals are discussed in each category, as well as the most recent advances and techniques in the field today.

The advances in sensor design have decreased the size, weight, and cost of sensors by orders of magnitude, yet with the increase Book Edition: 1st Edition.

In this paper the coverage problem of a mobile sensor network subject to time-varying communication delays is investigated. Each sensor is required to move along a fixed closed curve. The goal is to minimize a coverage cost function which is defined as the largest response time from the sensor network to any point on the curve.

Research in the field of wireless sensor networks (WSNs) has been plagued by difficulties in performing realistic simulations. For instance, most of the existing coverage optimization techniques presuppose that the region covered by a sensor node is a disc characterized by the radio transmission range.

This assumption is rigorously false because of the propagation phenomena including fading. Wireless Sensor Networks presents a comprehensive and tightly organized compilation of chapters that surveys many of the exciting research developments taking place in this field.

Chapters are written by several of the leading researchers exclusively for this book. Authors address many of the key challenges faced in the design, analysis and deployment of wireless sensor networks.5/5(2). A coverage-preserving density control algorithm for wireless sensor networks. In Proceedings of the 3rd International Conference on Ad-Hoc Networks and Wireless (Adhoc-Now).

Lecture Notes in Computer Science, vol. Optimal Coverage in Wireless Sensor Networks This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems.

Readers will find it a useful tool for furthering developments on theory and applications of optimal coverage; much of the content can serve as material for advanced.

Coverage control can be generally classified into static coverage control and dynamic coverage control. In static coverage control, the goal is to optimize the locations of sensors to improve the quality of service provided by mobile sensor networks (Cortés et al.,Cortés et al.,Kwok and Martínez,Li and Cassandras,   Statistical Coverage Control of Mobile Sensor Networks Abstract: A fundamental challenge of mobile sensor networks is automated active reconfiguration of sensors in response to environmental stimuli in order to maximize their total sensing quality (or minimize their total sensing cost) of events occurring over an environment.

The remaining chapters are devoted to elaborating some basic network coverage control problems and their variants. At first, this chapter discusses its motivations and challenges, and also provides a taxonomy of the coverage control problems in sensor networks. This informative text/reference presents a detailed review of the state of the art in industrial sensor and control networks.

The book examines a broad range of applications, along with their design objectives and technical challenges. The coverage includes fieldbus technologies, wireless communication technologies, network architectures, and.

Sensing Coverage and Connectivity in Cognitive Radio Sensor Networks: /ch Sensing coverage of a field of interest and connectivity are two very important performance measures in Wireless Sensor Networks (WSNs).

Existing design. In this paper, we propose a new control method to cover the "holes" in wireless sensor networks. Many applications often face the problem of holes when some sensor nodes are disabled from the collaboration due to their failures and misbehavior.

These holes may occur dynamically, and such a problem cannot be solved completely by simply deploying more redundant sensors.

Detection Coverage Models 27 Estimation Coverage Models 30 References 32 3 Network Coverage Control 35 Motivations and Objectives 35 Notes and Comments 37 Coverage Control in the Protocol Architecture 38 Notes and Comments 40 Design Issues of Network Coverage Control 41 A Taxonomy for Network Coverage.

Although there are many books available on WSNs, most are low-level, introductory books. The few available for advanced readers fail to convey the breadth of knowledge required for those aiming to develop next-generation solutions for g this void, Wireless Sensor Networks: From Theory to Applications supplies comprehensive coverage of WSNs.

In order to provide the wide. The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs).

One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network. Song and Y. Hong, Decentralized self-deployment algorithm for effective boundary coverage of mobile sensor networks, Proc.

30th Chinese Control Conference () pp. – Google Scholar C. Persis, M. Cao and F. Ceragioli, A note on the deployment of kinematic agents by binary information, Proc. 50th IEEE Conf. Decision and. This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems.

Readers will find it a useful tool for furthering developments on theory and applications of optimal coverage; much of the content can serve as material for advanced topics courses at the graduate level. Abstract: In this paper, we investigate the coverage and energy consumption control in mobile heterogeneous wireless sensor networks (WSNs).

By term heterogeneous, we mean that sensors in the network have various sensing radius, which is an inherent property of many applied WSNs. To satisfy the coverage requirements in wireless sensor networks (WSNs), redundant sensors are usually deployed, which may cause unnecessary energy consumption on sensor nodes.

IEEE TRANSACTIONSON CONTROLOF NETWORK SYSTEMS, VOL. 4, NO. 3, SEPTEMBER Robust Adaptive Coverage Control for Robotic Sensor Networks Mac Schwager, Member, IEEE, Michael P. Vitus,Member, IEEE, Samantha Powers, Daniela Rus,Fellow, IEEE,Fellow, IEEE Abstract—This paper presents a distributed control algorithm to drive a group of robots to.

This book presents a comprehensive overview of wireless sensor networks (WSNs) with an emphasis on security, coverage, and localization. It offers a structural treatment of WSN building blocks including hardware and protocol architectures and also provides a systems-level view of how WSNs operate.

Simone Gabriele and Paolo Di Giamberardino (October 1st ). The Area Coverage Problem for Dynamic Sensor Networks, New Developments in Robotics Automation and Control, Aleksandar Lazinica, IntechOpen, DOI: / Available from. Robotic Sensor Networks Wenhao Luo and Katia Sycara Abstract—In this paper, we consider the problem of Voronoi-based coverage control for multi-robot sensor networks with connectivity constraints, where a team of mobile robots spread out over the workspace in order to optimize the overall coverage.

Wireless Sensor Networks (WSNs) can be defined as a self-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and analysed.

‎This Springer Brief presents recent research results on area coverage for intruder detection from an energy-efficient perspective. These results cover a variety of topics, including environmental surveillance and security monitoring. The authors also provide the background and range of applications.

Wireless Sensor Networks (WSNs) are large-scale and high-density networks that typically have coverage area overlap. In addition, a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area, which leads to coverage holes in WSNs.

Thus, coverage control plays an important role in WSNs. To alleviate unnecessary energy wastage and improve network. () Blind Spot Coverage Control for Mobile Visual Sensor Networks in a Parking Lot. Transactions of the Society of Instrument and Control Engineers() Novel Visual Sensor Coverage and Deployment in Time Aware PTZ Wireless Visual Sensor Networks.This paper addresses the coverage control problem for a network of mobile sensors with first-order discrete-time dynamics, where the goal is to minimize a coverage cost function which is defined as the largest distance between any point on a circle and its nearest sensor.

Furthermore, the sensor relocation problem (SR problem) is an important issue in coverage control. The main difference between SR problem and sensor deployment (SD) problem is that SR problem has a strict response time requirement.

Because the SD problem occurs during network initialization, so there is no strict response time requirement.