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001453033 001__ 1453033
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001453033 019__ $$a1347027183
001453033 020__ $$a9783031078231$$q(electronic bk.)
001453033 020__ $$a3031078233$$q(electronic bk.)
001453033 020__ $$z9783031078224
001453033 020__ $$z3031078225
001453033 0247_ $$a10.1007/978-3-031-07823-1$$2doi
001453033 035__ $$aSP(OCoLC)1347021827
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001453033 050_4 $$aTK7872.D48
001453033 08204 $$a681/.2$$223/eng/20221017
001453033 1001_ $$aAmmari, Habib M.,$$eauthor.
001453033 24510 $$aTheory and practice of wireless sensor networks :$$bcover, sense, and inform /$$cHabib M. Ammari.
001453033 264_1 $$aCham :$$bSpringer,$$c[2023]
001453033 264_4 $$c©2023
001453033 300__ $$a1 online resource (xxxiv, 762 pages) :$$billustrations (some color).
001453033 336__ $$atext$$btxt$$2rdacontent
001453033 337__ $$acomputer$$bc$$2rdamedia
001453033 338__ $$aonline resource$$bcr$$2rdacarrier
001453033 4901_ $$aStudies in systems, decision and control ;$$vvolume 214
001453033 504__ $$aIncludes bibliographical references.
001453033 5050_ $$aIntro -- Preface -- Book Overview -- Book Organization -- Acknowledgments -- Contents -- Part I Foundations of Wireless Sensor Networks -- 1 General Introduction -- 1.1 Introduction -- 1.1.1 Major Tasks -- 1.1.2 Chapter Organization -- 1.2 Major Challenges -- 1.2.1 Limited Resources and Capabilities -- 1.2.2 Location Management -- 1.2.3 Sensor Deployment -- 1.2.4 Time-Varying Network Characteristics -- 1.2.5 Network Scalability, Heterogeneity, and Mobility -- 1.2.6 Sensing Application Requirements -- 1.3 Sample Sensing Applications -- 1.4 Book Motivations -- 1.5 Design Requirements
001453033 5058_ $$a1.6 Book Contributions -- 1.7 Conclusion -- 2 Fundamental Concepts, Definitions, and Models -- 2.1 Introduction -- 2.1.1 Major Tasks -- 2.1.2 Chapter Organization -- 2.2 Terminology -- 2.3 Deterministic and Stochastic Sensing Models -- 2.4 Network Connectivity and Fault Tolerance -- 2.5 Energy Consumption Model -- 2.6 Percolation Model -- 2.6.1 Why a Continuum Percolation Model? -- 2.7 Default Network Model -- 2.8 Random and Group Mobility Models -- 2.8.1 Random Waypoint Mobility Model (RWP) -- 2.8.2 Reference Point Group Mobility Model (RPGM) -- 2.8.3 Manhattan Mobility Model (MMM)
001453033 5058_ $$a2.8.4 Why Group and Random Mobility Models? -- 2.9 Conclusion -- Part II Percolation Theory-Based Coverage and Connectivity in Wireless Sensor Networks -- 3 A Planar Percolation-Theoretic Approach to Coverage and Connectivity -- 3.1 Introduction -- 3.1.1 Major Tasks -- 3.1.2 Chapter Organization -- 3.2 Phase Transition in Sensing Coverage -- 3.2.1 Estimation of the Shape of Covered Components -- 3.2.2 Critical Density of Covered Components -- 3.2.3 Critical Radius of Covered Components -- 3.2.4 Characterization of Critical Percolation -- 3.2.5 Numerical Results
001453033 5058_ $$a3.3 Phase Transition in Network Connectivity -- 3.3.1 Integrated Sensing Coverage and Network Connectivity -- 3.4 Discussion -- 3.5 Related Work -- 3.6 Conclusion -- 4 A Spatial Percolation-Theoretic Approach to Coverage and Connectivity -- 4.1 Introduction -- 4.1.1 Major Tasks -- 4.1.2 Chapter Organization -- 4.2 Three Percolation Problems -- 4.2.1 Sensing Coverage Percolation -- 4.2.2 Network Connectivity Percolation -- 4.2.3 Coverage and Connectivity Percolation -- 4.3 Further Discussion -- 4.3.1 Practicality and Generalizability Issues -- 4.3.2 Sensor Deployment in Spatial Fields
001453033 5058_ $$a4.3.3 Relaxations of Assumptions -- 4.4 Related Work -- 4.5 Conclusion -- Part III Convexity Theory-Based Connected k-Coverage in Wireless Sensor Networks -- 5 A Planar Convexity Theory-Based Approach for Connected k-Coverage -- 5.1 Introduction -- 5.1.1 Major Tasks -- 5.1.2 Chapter Organization -- 5.2 Achieving Connected k-Coverage -- 5.2.1 Connected k-Coverage Problem Modeling -- 5.2.2 Sufficient Condition to Ensure k-Coverage -- 5.3 Centralized k-Coverage Protocol -- 5.3.1 Planar Deployment Field Slicing -- 5.3.2 Sensor Selection -- 5.3.3 Slicing Grid Dynamics
001453033 506__ $$aAccess limited to authorized users.
001453033 520__ $$aThis book aims at developing a readers thorough understanding of the challenges and opportunities of two categories of networks, namely k-covered wireless sensor networks and k-barrier covered wireless sensor networks. It presents a variety of theoretical studies based on percolation theory, convexity theory, and applied computational geometry, as well as the algorithms and protocols that are essential to their design, analysis, and development. Particularly, this book focuses on the cover, sense, and inform (CSI) paradigm with a goal to build a unified framework, where connected k-coverage (or k-barrier coverage), sensor scheduling, and geographic data forwarding, gathering, and delivery are jointly considered. It provides the interested reader with a fine study of the above networks, which can be covered in introductory and advanced courses on wireless sensor networks. This book is useful to senior undergraduate and graduate students in computer science, computer engineering, electrical engineering, information science, information technology, mathematics, and any related discipline. Also, it is of interest to computer scientists, researchers, and practitioners in academia and industry with interest in these two networks from their deployment until data gathering and delivery.
001453033 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 17, 2022).
001453033 650_0 $$aWireless sensor networks.
001453033 655_0 $$aElectronic books.
001453033 77608 $$iPrint version: $$z3031078225$$z9783031078224$$w(OCoLC)1322048080
001453033 830_0 $$aStudies in systems, decision and control ;$$vv. 214.
001453033 852__ $$bebk
001453033 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07823-1$$zOnline Access$$91397441.1
001453033 909CO $$ooai:library.usi.edu:1453033$$pGLOBAL_SET
001453033 980__ $$aBIB
001453033 980__ $$aEBOOK
001453033 982__ $$aEbook
001453033 983__ $$aOnline
001453033 994__ $$a92$$bISE