Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks

1. Front Matter

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2. Part 1: Introduction and Background Concepts

   1. Overview of Wireless Sensor Networks

      • Habib M. Ammari

      Pages 1-14

   2. Background and Fundamentals

      • Habib M. Ammari

      Pages 15-27

3. Part 2: Almost Sure Coverage and Connectivity

   1. Phase Transitions in Coverage and Connectivity in Two-Dimensional Deployment Fields

      • Habib M. Ammari

      Pages 29-49

   2. Phase Transitions in Coverage and Connectivity in Three-Dimensional Deployment Fields

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      Pages 51-71

4. Part 3: Connected k-Coverage

   1. Connected k-Coverage in Two-Dimensional Deployment Fields

      • Habib M. Ammari

      Pages 73-109

   2. Heterogeneous and Mobile Connected k-Coverage in Two-Dimensional Deployment Fields

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      Pages 111-131

   3. Two-Dimensional Stochastic Connected k–Coverage and Three-Dimensional Connected k–Coverage

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      Pages 133-156

   4. Network Connectivity and Fault-Tolerance Measures in Two-Dimensional Deployment Fields

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      Pages 157-174

5. Part 4: Data Forwarding and Gathering

   1. Geographic Forwarding on Always-On Sensors

      • Habib M. Ammari

      Pages 175-200

   2. Trade-Off between Energy and Delay in Geographic Forwarding on Always-On Sensors

      • Habib M. Ammari

      Pages 201-240

   3. Energy Sink-Hole Problem with Always-On Sensors in Two-Dimensional Deployment Fields

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      Pages 241-269

   4. Geographic Forwarding on Duty-Cycled Sensors in Two-Dimensional and Three-Dimensional Deployment Fields

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      Pages 271-291

6. Part 5: Summary and Further Extensions

   1. Conclusion and Future Work

      • Habib M. Ammari

      Pages 293-298

7. Back Matter

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“The decomposition of the difficulties to be resolved, or the objects to be known, should be pushed up to the simplest elements … Such elements are seized directly and completely by the intuition. ” René Descartes, Discours de la méthode (1637) Wireless sensor networks have received significant attention because of their - portant role and many conveniences in our lives. Indeed, the recent and fast - vances in inexpensive sensor technology and wireless communications have made the design and development of large-scale wireless sensor networks cost-effective and appealing to a wide range of mission-critical situations, including civilian, natural, industrial, and military applications, such as health and environmental monitoring, seism monitoring, industrial process automation, and battlefields s- veillance, respectively. A wireless sensor network consists of a large number of - ny, low-powered devices, called sensors, which are randomly or deterministically deployed in a field of interest while collaborating and coordinating for the successful accomplishment of their mission. These sensors suffer from very scarce resources and capabilities, such as bandwidth, storage, CPU, battery power (or - ergy), sensing, and communication, to name a few, with energy being the most critical one. The major challenge in the design process of this type of network is mainly due to the limited capabilities of the sensors, and particularly, their energy, which makes them unreliable.

• Energy-Efficiency
• Extension
• Routing
• Sensor Networks
• computational intelligence
• geometry
• intelligence
• wireless sensor network
• wireless sensor networks

From the reviews:

“The book presents the up-to-date state of the art in the field of wireless sensor networks (WSNs), especially the connectivity and coverage issues. … The book is well written, the terms are introduced in the proper order. The discussion is carried on starting with simple environments and then extended to more complex ones. All the material is presented in a clear manner.” (Jozef Woźniak, Zentralblatt MATH, Vol. 1187, 2010)

• Wireless Sensor and Mobile Ad-hoc Networks (WiSeMAN) Research Laboratory, Department of Computer Science, Hofstra College of Liberal Arts and Sciences, Hofstra University, Hempstead, USA

  Habib M. Ammari

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