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Theory and Practice of Wireless Sensor Networks: Cover, Sense, and Inform

  • Book
  • © 2023

Overview

Authors:
  1. Habib M. Ammari

    1. Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, USA

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  • Provides an in-depth overview of the state-of-the-art of sensor deployment and k-coverage
  • Addresses several problems that have not been mentioned in any of the books about wireless sensor networks
  • Includes results on the design of energy-efficient protocols for large-scale wireless sensor networks

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 214)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxxvi
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  2. Foundations of Wireless Sensor Networks

    1. Front Matter

      Pages 1-1
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    2. General Introduction

      • Habib M. Ammari
      Pages 3-20

    3. Fundamental Concepts, Definitions, and Models

      • Habib M. Ammari
      Pages 21-46

  3. Percolation Theory-Based Coverage and Connectivity in Wireless Sensor Networks

    1. Front Matter

      Pages 47-47
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    2. A Planar Percolation-Theoretic Approach to Coverage and Connectivity

      • Habib M. Ammari
      Pages 49-70

    3. A Spatial Percolation-Theoretic Approach to Coverage and Connectivity

      • Habib M. Ammari
      Pages 71-92

  4. Convexity Theory-Based Connected k-Coverage in Wireless Sensor Networks

    1. Front Matter

      Pages 93-93
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    2. A Planar Convexity Theory-Based Approach for Connected k-Coverage

      • Habib M. Ammari
      Pages 95-135

    3. Planar Convexity Theory-Based Approaches for Heterogeneous, On-Demand, and Stochastic Connected k-Coverage

      • Habib M. Ammari
      Pages 137-175

    4. Spatial Convexity Theory-Based Approaches for Connected k–Coverage

      • Habib M. Ammari
      Pages 177-212

  5. Applied Computational Geometry-Based Connected k-Coverage in Wireless Sensor Networks

    1. Front Matter

      Pages 213-213
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    2. A Planar Regular Hexagonal Tessellation-Based Approach for Connected k-Coverage

      • Habib M. Ammari
      Pages 215-266

    3. A Planar Irregular Hexagonal Tessellation-Based Approach for Connected k-Coverage

      • Habib M. Ammari
      Pages 267-308

    4. A Polyhedral Space Filler Tessellation-Based Approach for Connected k-Coverage

      • Habib M. Ammari
      Pages 309-352

  7. Geographic Data Forwarding, Gathering, and Delivery in Wireless Sensor Networks

    1. Front Matter

      Pages 397-397
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    2. A Planar Checkpoints-Based Approach for Geographic Forwarding on Always-on Sensors

      • Habib M. Ammari
      Pages 399-424
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Keywords

About this book

This book aims at developing a reader’s 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.

Authors and Affiliations

  • Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, USA

    Habib M. Ammari

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